{
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   "metadata": {
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     "start_time": "2024-09-18T13:10:08.843555Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from collections import Counter\n",
    "from datetime import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from scipy import stats\n",
    "import gc\n",
    "import warnings\n",
    "from pylab import mpl\n",
    "\n",
    "# 设置显示中文字体\n",
    "mpl.rcParams['font.sans-serif'] = ['SimHei']\n",
    "# 设置正常显示符号\n",
    "mpl.rcParams['axes.unicode_minus'] = False\n",
    "warnings.filterwarnings('ignore')"
   ],
   "id": "a4a65699adfbc3a7",
   "outputs": [],
   "execution_count": 155
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:27.317814Z",
     "start_time": "2024-09-18T13:10:08.961034Z"
    }
   },
   "cell_type": "code",
   "source": [
    "test_data = pd.read_csv('C:\\\\Users\\\\20937\\\\Desktop\\\\阿里比赛\\\\data_format1\\\\test_format1.csv')\n",
    "train_data = pd.read_csv('C:\\\\Users\\\\20937\\\\Desktop\\\\阿里比赛\\\\data_format1\\\\train_format1.csv')\n",
    "user_info = pd.read_csv('C:\\\\Users\\\\20937\\\\Desktop\\\\阿里比赛\\\\data_format1\\\\user_info_format1.csv')\n",
    "user_log = pd.read_csv('C:\\\\Users\\\\20937\\\\Desktop\\\\阿里比赛\\\\data_format1\\\\user_log_format1.csv')"
   ],
   "id": "391783632ec9d0d6",
   "outputs": [],
   "execution_count": 156
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:27.328819Z",
     "start_time": "2024-09-18T13:10:27.319819Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# reduce memory usage\n",
    "def reduce_mem_usage(df, verbose=True):\n",
    "    start_mem = df.memory_usage().sum() / 1024 ** 2\n",
    "    numerics = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64']\n",
    "    print('Memory usage of dataframe is {:.2f} MB'.format(start_mem))\n",
    "\n",
    "    for col in df.columns:\n",
    "        col_type = df[col].dtype\n",
    "        if col_type in numerics:\n",
    "            c_min = df[col].min()\n",
    "            c_max = df[col].max()\n",
    "            if str(col_type)[:3] == 'int':\n",
    "                if c_min > np.iinfo(np.int8).min and c_max < np.iinfo(np.int8).max:\n",
    "                    df[col] = df[col].astype(np.int8)\n",
    "                elif c_min > np.iinfo(np.int16).min and c_max < np.iinfo(np.int16).max:\n",
    "                    df[col] = df[col].astype(np.int16)\n",
    "                elif c_min > np.iinfo(np.int32).min and c_max < np.iinfo(np.int32).max:\n",
    "                    df[col] = df[col].astype(np.int32)\n",
    "                elif c_min > np.iinfo(np.int64).min and c_max < np.iinfo(np.int64).max:\n",
    "                    df[col] = df[col].astype(np.int64)\n",
    "            else:\n",
    "                if c_min > np.finfo(np.float16).min and c_max < np.finfo(np.float16).max:\n",
    "                    df[col] = df[col].astype(np.float16)\n",
    "\n",
    "                elif c_min > np.finfo(np.float32).min and c_max < np.finfo(np.float32).max:\n",
    "                    df[col] = df[col].astype(np.float32)\n",
    "                else:\n",
    "                    df[col] = df[col].astype(np.float64)\n",
    "    end_mem = df.memory_usage().sum() / 1024 ** 2\n",
    "    if verbose: print('Memory usage after optimization is: {:.2f} MB'.format(end_mem))\n",
    "    print('Decreased by {:.1f}%'.format(100 * (start_mem - end_mem) / start_mem))\n",
    "    return df"
   ],
   "id": "32548f523fc3dc3f",
   "outputs": [],
   "execution_count": 157
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:29.054816Z",
     "start_time": "2024-09-18T13:10:27.329844Z"
    }
   },
   "cell_type": "code",
   "source": [
    "test_data = reduce_mem_usage(test_data)\n",
    "train_data = reduce_mem_usage(train_data)\n",
    "user_info = reduce_mem_usage(user_info)\n",
    "user_log = reduce_mem_usage(user_log)"
   ],
   "id": "380f720fadfac293",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Memory usage of dataframe is 5.98 MB\n",
      "Memory usage after optimization is: 3.49 MB\n",
      "Decreased by 41.7%\n",
      "Memory usage of dataframe is 5.97 MB\n",
      "Memory usage after optimization is: 1.74 MB\n",
      "Decreased by 70.8%\n",
      "Memory usage of dataframe is 9.71 MB\n",
      "Memory usage after optimization is: 3.24 MB\n",
      "Decreased by 66.7%\n",
      "Memory usage of dataframe is 2933.33 MB\n",
      "Memory usage after optimization is: 890.48 MB\n",
      "Decreased by 69.6%\n"
     ]
    }
   ],
   "execution_count": 158
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:29.062429Z",
     "start_time": "2024-09-18T13:10:29.055824Z"
    }
   },
   "cell_type": "code",
   "source": "train_data.head()",
   "id": "1ea5a0aafd1470a2",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   user_id  merchant_id  label\n",
       "0    34176         3906      0\n",
       "1    34176          121      0\n",
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   "cell_type": "code",
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    {
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       "   user_id  merchant_id  prob\n",
       "0   163968         4605   NaN\n",
       "1   360576         1581   NaN\n",
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   "cell_type": "code",
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   "cell_type": "code",
   "source": "user_log.head()",
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      "text/plain": [
       "   user_id  item_id  cat_id  seller_id  brand_id  time_stamp  action_type\n",
       "0   328862   323294     833       2882    2660.0         829            0\n",
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     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "execution_count": 162
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:29.101409Z",
     "start_time": "2024-09-18T13:10:29.093809Z"
    }
   },
   "cell_type": "code",
   "source": "train_data.isna().sum()",
   "id": "2e6b5f5b1a35b86d",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id        0\n",
       "merchant_id    0\n",
       "label          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 163
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:29.110441Z",
     "start_time": "2024-09-18T13:10:29.102350Z"
    }
   },
   "cell_type": "code",
   "source": "user_info.isna().sum() / user_info.shape[0]",
   "id": "12b96df95748c240",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id      0.000000\n",
       "age_range    0.005227\n",
       "gender       0.015173\n",
       "dtype: float64"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 164
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:29.567143Z",
     "start_time": "2024-09-18T13:10:29.111216Z"
    }
   },
   "cell_type": "code",
   "source": "user_log.isna().sum() / user_log.shape[0]",
   "id": "a7e2a26d104ee7af",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id        0.000000\n",
       "item_id        0.000000\n",
       "cat_id         0.000000\n",
       "seller_id      0.000000\n",
       "brand_id       0.001657\n",
       "time_stamp     0.000000\n",
       "action_type    0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 165
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:30.052707Z",
     "start_time": "2024-09-18T13:10:29.568150Z"
    }
   },
   "cell_type": "code",
   "source": [
    "label_gp = train_data.groupby('label')['user_id'].count()\n",
    "print('正负样本数据量 : \\n', label_gp)\n",
    "_, axe = plt.subplots(1, 2, figsize=(12, 6))\n",
    "train_data.label.value_counts().plot(kind='pie', autopct='%1.1f%%', shadow=True, explode=[0, 0.1], ax=axe[0])\n",
    "sns.countplot(x='label', data=train_data, ax=axe[1])"
   ],
   "id": "744404ebadc08d2",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "正负样本数据量 : \n",
      " label\n",
      "0    244912\n",
      "1     15952\n",
      "Name: user_id, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='label', ylabel='count'>"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 166
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "",
   "id": "c268f4de171ef8d3"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:30.400525Z",
     "start_time": "2024-09-18T13:10:30.054261Z"
    }
   },
   "cell_type": "code",
   "source": [
    "print('选取图片top5店铺\\n店铺\\t购买次数')\n",
    "print(train_data.merchant_id.value_counts().head(5))\n",
    "train_data_merchant = train_data.copy()\n",
    "train_data_merchant['Top5'] = train_data_merchant['merchant_id'].apply(\n",
    "    lambda x: 1 if x in [4044, 3828, 4173, 1102, 4976] else 0)\n",
    "train_data_merchant = train_data_merchant[train_data_merchant['Top5'] == 1]\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.title('Merchant VS Label')\n",
    "ax = sns.countplot(x='merchant_id', hue='label', data=train_data_merchant)\n",
    "for p in ax.patches:\n",
    "    height = p.get_height()"
   ],
   "id": "be2771c4550d3560",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "选取图片top5店铺\n",
      "店铺\t购买次数\n",
      "merchant_id\n",
      "4044    3379\n",
      "3828    3254\n",
      "4173    2542\n",
      "1102    2483\n",
      "4976    1925\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ],
      "image/png": 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/2rbtoODgEH+X0yCqO0abTWrXrnWNttO0ojYANBF5h4qVs6/gzCsCAJqU5v13NwAAAOBnCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDuyUAAAA0Y3a7rVEf3OJ2W036HtqEWwAAgGbKHw+eaeoPiSHcAgAANFN2u00Oh73RHjxz8iExdrutxuH2u+++1YIFDys/f6+uumqC7rzzHtlsDXemmXALAADQzDXVB89UVFTogQeSddFFF2v+/AVauvRP2rDhdY0bN77B9skFZQAAAGgQH3/8kUpLS3X33cnq1ClWv//9XXrjjVcbdJ+EWwAAADSIb7/dqb59+6lFixaSpJ49e+nf/85r0H0SbgEAANAgysrK1KFDJ89rm+3EHOEjR4402D4JtwAAAGgQDodDISHBXstCQkJ17Fh5g+2TcAsAAIAGERERoaKiQq9lR4+WKSgouIoedUe4BQAAQIPo06evvv76K8/r/fu/V0VFpSIiIhpsn9wKDAAAoJnrfnZkk9xPfPyFKi0t1caNb+jXv75SK1c+r0GDLpLD4WigCv0YbgsLC5WXl6du3bopOjraX2UAAAA0W263JZfLrUduGN5o+3S53DV+gENQUJBmzHhQ8+c/qGXLHpfb7dITT2Q0aH1+Cbdvvvmm5s2bp06dOikvL08LFizQuHHjtHPnTqWmpmrPnj36zW9+oxkzZnieYOFrGwAAgKncbktFRUdltzde7nG7rVo9evfSS0dq1ar1ysn5l/r1i1dUVFQDVueHObdHjhxRWlqaXnrpJWVlZWn+/Pl67LHHVFFRoaSkJPXt21fr1q2T0+lUZmamJPncBgAAYDq329Lx4+5G+6pNsD3prLPO1vDhIxs82Ep+OHNbVlamWbNmqXfv3pKkc889V8XFxdq6datKS0uVmpqqsLAwJScna/78+Zo0aZLPbbXBiV4AJuKzDTBDIL2XbbZTj7c2x9/o4bZDhw4aP/7E84QrKyu1YsUKXX755crJyVF8fLzCwsIkSXFxcXI6nZLkc1tttG3bus7HBgBNSVRUuL9LAFBPysvLVVBgl8NhU1CQmTe7crttstvtiooK9zzRzBd+u6AsJydHU6dOVXBwsDZu3Khly5YpNjbW026znTjA4uJilZaW+tQWGVnzK/oOHy6RVfuz7AAM43DYjQmFhYVlcrnc/i4DQD2orKyQ2+2Wy3ViCoKJXC5LbrdbhYVlCg6u9Gqz2Wp+ItJv4TYuLk7PP/+80tPTlZqaqm7duikkJMRrndDQUJWXl//n6Ra1b6tNuLUsEW4BGIfPNcAMgfRermsm89t5bZvNpvPOO0+LFi3Sli1bFBkZqYKCAq91ysrKFBwc7HMbAAAAAkujh9tt27YpPT3d8/rkTXx79OihHTt2eJbn5+eroqJCkZGR6t+/v09tAAAAprPbT8zDbayvxrztmC8afVpCjx49dNddd6lbt2669NJLtXTpUg0dOlQjR47UnDlzlJWVpQkTJigjI0NDhgyRw+FQQkKCSkpKat0GAABgMrvdpqg2YbI3Yu5xu1wqLPrJp1uCNQabZTX+LI73339fCxcu1IEDBzRs2DDNmzdP0dHR2rx5s1JSUhQeHi6Xy6WVK1eqV69ekuRzW039+CMXlAGQgoJOXFB249I3lLOv4MwdmqBzO0XrpT9eqcLCMmMvPAECTWVlhQ4f3q+2bTsoOPi/1xqd/Mz6MXOmKn/8rsHrCG7XQ+0mLqr150txcZGmT5+qxx9/Wh06dDztOlUdo3TigrJ27ZrwBWXDhw/X8OGnPiYuMTFRmzZtUnZ2tgYMGOD1WF5f2wAAAExX+eN3qjzwjb/LOK2ioiI98MC92r//+0bZn9/ullCVmJgYxcTE1GsbAAAA/OOhh2ZpzJjL9fXX2Y2yPzPvAgwAAIAmYcaMWZoy5fpG2x/hFgAAAA2mU6fYM69Ujwi3AAAAMAbhFgAAAMYg3AIAAMAYTe5uCQAAAKid4HY9jNpPXRBuAQAAmim325Lb5VK7iYsab58uV5N9OplEuAUAAGi23G5LhUU/yW63Neo+fQm3H3zwzwao5lSEWwAAgGbM17BpKi4oAwAAgDEItwAAADAG4RYAAKCZsCxzpx/U17Ex5xaoAbvd1qiT9RsCc7IAoPlyOBySpIqKYwoJCfVzNQ3D5TouSbLb63bulXALnIHdblObNi3lcDTvP3S4XG4VFR0l4AJAM2S3OxQW1kqlpYWSpJCQUNlszfuky89ZllslJUUKCWkhu91Rp20RboEzsNttcjjsmv3y+8o7VOzvcnzS/exIPXLDcNntNsItADRTERHRkuQJuKax2eyKiIiuc2gn3AI1lHeoWDn7CvxdBgAgQNlsNkVGtlXr1lGeP+GbJCgouF7ORhNuAQAAmhG73S67PcTfZTRZzXsSIQAAAPAzhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADG8Eu43bx5s8aMGaPzzjtPkydPltPplCSlpaUpLi7O83XZZZd5+uzcuVOTJk1SQkKC0tPTZVlWjdoAAAAQOBo93O7Zs0ezZs1SSkqKtm7dqo4dO+rBBx+UJH399dfKyMjQ9u3btX37dq1fv16SVFFRoaSkJPXt21fr1q2T0+lUZmbmGdsAAAAQWBo93DqdTt17770aO3as2rVrp+uvv15fffWVjh8/rp07d2rQoEGKiIhQRESEWrVqJUnaunWrSktLlZqaqi5duig5OVlr1649YxsAAAACS1Bj73DUqFFer/Py8tS1a1fl5ubKsixNmDBBBw8eVEJCgtLS0tSxY0fl5OQoPj5eYWFhkqS4uDjPVIbq2mrDZqvjgQHNBP/XAwvjDcAEtfksa/Rw+3MVFRVasWKFpk2bJqfTqV69emn27NmKiorSo48+qrlz5+rZZ59VaWmpYmNjPf1sNpvsdruKi4urbYuMjKxxLW3btq7XYwOaoqiocH+XgEbEeAMIRH4Nt0uXLlXLli01ZcoUBQcHa/z48Z62OXPmKDExUaWlpXI4HAoJCfHqGxoaqvLy8mrbahNuDx8uEdeh4XQcDrsxIaGwsEwul9vfZTRpjDcAND02W81PRPot3H744YdatWqVVq9ereDg4FPaIyIi5Ha7dejQIUVGRmrXrl1e7WVlZQoODq62rTYsS4RbBAT+nwcWxhtAoPHLrcD27t2r++67T/PmzVPPnj0lSQsXLtSGDRs862RnZ8tut6tDhw7q37+/duzY4WnLz89XRUWFIiMjq20DAABAYGn0cFteXq7bb79diYmJGjNmjMrKylRWVqZzzz1XS5cu1fbt27Vt2zalpaXpmmuuUVhYmBISElRSUqKsrCxJUkZGhoYMGSKHw1FtGwAAAAJLo09L+OCDD+R0OuV0OrV69WrP8i1btui7777TnXfeqfDwcCUmJio5OflEkUFBSktLU0pKihYvXiyXy6WVK1eesQ0AAACBpdHDbWJionJzc0/blpKSopSUlCr7bdq0SdnZ2RowYICio6Nr1AYAAIDA4de7JdRWTEyMYmJiat0GAACAwOCXC8oAAACAhkC4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACM0ayeUAYAQH2z222y223+LqNO3G5Lbrfl7zKAJoFwCwAIWHa7TW3atJTD0bz/kOlyuVVUdJSAC4hwCwAIYHa7TQ6HXbNffl95h4r9XY5Pup8dqUduGC673Ua4BUS4BQBAeYeKlbOvwN9lAKgHzfvvMAAAAMDPEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGPwhDIf2e022e02f5dRJ263xaMaAQCAUQi3PrDbbWrTpqUcjuZ94tvlcquo6CgBFwAAGINw6wO73SaHw67ZL7+vvEPF/i7HJ93PjtQjNwyX3W4j3AIAAGMQbusg71CxcvYV+LsMAAAA/Efz/rs6AAAA8DOEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADCGX8Lt5s2bNWbMGJ133nmaPHmynE6nJGnnzp2aNGmSEhISlJ6eLsuyPH18bQMAAEDgaPRwu2fPHs2aNUspKSnaunWrOnbsqAcffFAVFRVKSkpS3759tW7dOjmdTmVmZkqSz20AAAAILI0ebp1Op+69916NHTtW7dq10/XXX6+vvvpKW7duVWlpqVJTU9WlSxclJydr7dq1kuRzGwAAAAJLUGPvcNSoUV6v8/Ly1LVrV+Xk5Cg+Pl5hYWGSpLi4OM90BV/basNm8/mQmr1APvZAxHgHFsY7sDDeMFVt/m83erj9uYqKCq1YsULTpk3T3r17FRsb62mz2Wyy2+0qLi5WaWmpT22RkZE1rqVt29b1c1DNTFRUuL9LQCNivAML4x1YGG/gBL+G26VLl6ply5aaMmWKli5dqpCQEK/20NBQlZeXy+Fw+NRWm3B7+HCJanodmsNhN+ZDpLCwTC6X299lNGmMd2BhvAML4w00DzZbzU9E+i3cfvjhh1q1apVWr16t4OBgRUZGateuXV7rlJWV1amtNixLNQ63pgnU4w5UjHdgYbwDC+MN+OlWYHv37tV9992nefPmqWfPnpKk/v37a8eOHZ518vPzVVFRocjISJ/bAAAAEFgaPdyWl5fr9ttvV2JiosaMGaOysjKVlZVp0KBBKikpUVZWliQpIyNDQ4YMkcPhUEJCgk9tAAAACCyNPi3hgw8+kNPplNPp1OrVqz3Lt2zZorS0NKWkpGjx4sVyuVxauXLliSKDgnxqAwAAQGBp9HCbmJio3Nzc07bFxsZq06ZNys7O1oABAxQdHe3Vz5c2AAAABA6/3i3hdGJiYhQTE1OvbQAAAAgMfrmgDAAAAGgIhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGEH+LgAAAKCx2O022e02f5dRJ263Jbfb8ncZTRbhFgAABAS73aY2bVrK4Wjef7h2udwqKjpKwK0C4RYAAAQEu90mh8Ou2S+/r7xDxf4uxyfdz47UIzcMl91uI9xWgXALAAACSt6hYuXsK/B3GWggzfu8PAAAAPAzhFsAAAAYg3ALAAAAY9RbuLUsSy6Xq742BwAAANSaT+F23rx5qqio8Fr28ccfa+zYsfVSFAAAAOALn8LtK6+8ckq47dmzp/bv318vRQEAAAC+qNWtwLKysiSdmILw+uuvKywszPP6o48+Ur9+/eq9QAAAAKCmahVu161bJ0my2Wx6/fXX5XA4JEl2u11du3bVkiVL6r9CAAAAoIZqFW7//ve/S5LOPfdcZWRkqFWrVg1SFAAAAOALn+bcXnvttQoJCanvWgAAAIA68enxu/Pnz1dFRYX2798vy/J+rnHHjh3rpTAAAACgtnwKtytXrtTixYtVWVnpFW5tNpu++eabeisOAAAAqA2fwu3jjz+u+++/X9ddd52Cg4PruyYAAADAJz7NuW3VqpUuueQSgi0AAACaFJ/C7ezZszVnzhzt3LmzvusBAAAAfObTtIRHHnlERUVFuvrqqxUREeF1S7AtW7bUW3EAAABAbfgUbhctWlTfdQAAAAB15lO4jY2Nre86AAAAgDrzKdyOHj1aNpvNcxswm83maeNWYAAAAPAXn8JtTk6O59/l5eXKzs7Wk08+qTvvvLPeCgMAAABqy6e7JfxcixYtlJCQoOXLlys9Pb0+agIAAAB8Uudwe9Lhw4d16NCh+tocAAAAUGt1mnN7ktvt1g8//KCpU6fWW2EAAABAbdXLrcBsNpvat2+vzp0710tRAAAAgC98mpZw0UUX6aKLLlKLFi1UWFio0NBQgi0AAAD8zqcztwcPHtQdd9yh3bt36+yzz9ahQ4fUrVs3LVu2TDExMfVdIwAAAFAjPp25nTt3rvr166dt27Zp48aN+uijj9S3b1/NmTOnvusDAAAAasyncPvZZ5/pjjvuUEhIiCQpNDRUSUlJ+vzzz+u1OAAAAKA2fAq3vXv31vr1672WrV+/Xr169aqXogAAAABf+DTndt68ebr11lv1+uuvKzY2Vnv37lVZWZlWrFhR3/UBAAAANeZTuO3du7fefvttvfvuu9q/f7+uueYajRw5Ui1btqzv+gAAAIAa82lawrfffqsbb7xRdrtd06dP1/LlyzVlyhTl5eXVd30AAABAjfl8t4SLL75Yw4YNkyS98sorGjlypB566KF6LQ4AAACoDZ/C7TfffKNbbrlFrVu3liS1bNlSN910k77++ut6LQ4AAACoDZ/CbVxcnF599VWvZa+++ip3SwAAAIBf+XRB2dy5c3XbbbcpKytLnTp1Un5+vo4cOaJnn322vusDAAAAasyncHveeefp7bff1j/+8Q8dOHBAV199tUaMGKFWrVrVd30AAABAjfk0LUGSWrVqpSuvvFLTp0/XuHHjah1sCwsLNXr0aOXn53uWpaWlKS4uzvN12WWXedp27typSZMmKSEhQenp6bIsq0ZtAAAACBw+h9u6KCgoUFJSkvbt2+e1/Ouvv1ZGRoa2b9+u7du3e56CVlFRoaSkJPXt21fr1q2T0+lUZmbmGdsAAAAQWHyallBXycnJGjt2rL744gvPsuPHj2vnzp0aNGiQwsPDvdbfunWrSktLlZqaqrCwMCUnJ2v+/PmaNGlStW21YbPVx5E1T4F87IGI8Q4sjHdgYbwDSyCNd22O1S/hNi0tTZ07d9aCBQs8y3Jzc2VZliZMmKCDBw8qISFBaWlp6tixo3JychQfH6+wsDBJJ+7W4HQ6Janattpo27Z1PRxZ8xMVFX7mlWAMxjuwMN6BhfEOLIx31fwSbjt37nzKMqfTqV69emn27NmKiorSo48+qrlz5+rZZ59VaWmpYmNjPevabDbZ7XYVFxdX2xYZGVnjmg4fLlFNp+o6HHZj/lMVFpbJ5XL7u4wmjfEOLIx3YGG8Awvj3XzZbDU/EemXcHs648eP1/jx4z2v58yZo8TERJWWlsrhcCgkJMRr/dDQUJWXl1fbVptwa1mqcbg1TaAed6BivAML4x1YGO/Awnifnl8uKKuJiIgIud1uHTp0SJGRkSooKPBqLysrU3BwcLVtAAAACCxNJtwuXLhQGzZs8LzOzs6W3W5Xhw4d1L9/f+3YscPTlp+fr4qKCkVGRlbbBgAAgMDSZMJtnz59tHTpUm3fvl3btm1TWlqarrnmGoWFhSkhIUElJSXKysqSJGVkZGjIkCFyOBzVtgEAACCwNJk5txMmTJDT6dSdd96p8PBwJSYmKjk5WZIUFBSktLQ0paSkaPHixXK5XFq5cuUZ2wAAABBY/Bpuc3NzvV6npKQoJSXltOsmJiZq06ZNys7O1oABAxQdHV2jNgAAAASOJnPmtiZiYmIUExNT6zYAAAAEhiYz5xYAAACoK8ItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMv4XbwsJCjR49Wvn5+Z5lO3fu1KRJk5SQkKD09HRZllXnNgAAAAQOv4TbgoICJSUlad++fZ5lFRUVSkpKUt++fbVu3To5nU5lZmbWqQ0AAACBxS/hNjk5WWPHjvVatnXrVpWWlio1NVVdunRRcnKy1q5dW6c2AAAABJYgf+w0LS1NnTt31oIFCzzLcnJyFB8fr7CwMElSXFycnE5nndpqw2ar0yE1a4F87IGI8Q4sjHdgYbwDSyCNd22O1S/htnPnzqcsKy0tVWxsrOe1zWaT3W5XcXGxz22RkZE1rqlt29Y+Hk3zFhUV7u8S0IgY78DCeAcWxjuwMN5V80u4PR2Hw6GQkBCvZaGhoSovL/e5rTbh9vDhEtX0OjSHw27Mf6rCwjK5XG5/l9GkMd6BhfEOLIx3YGG8my+breYnIptMuI2MjNSuXbu8lpWVlSk4ONjnttqwLNU43JomUI87UDHegYXxDiyMd2BhvE+vydzntn///tqxY4fndX5+vioqKhQZGelzGwAAAAJLkwm3CQkJKikpUVZWliQpIyNDQ4YMkcPh8LkNAAAAgaXJTEsICgpSWlqaUlJStHjxYrlcLq1cubJObQAAAAgsfg23ubm5Xq8TExO1adMmZWdna8CAAYqOjq5zGwAAAAJHkzlze1JMTIxiYmLqtQ0AAACBocnMuQUAAADqinALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjNLlwm5aWpri4OM/XZZddJknauXOnJk2apISEBKWnp8uyLE+f6toAAAAQOJpcuP3666+VkZGh7du3a/v27Vq/fr0qKiqUlJSkvn37at26dXI6ncrMzJSkatsAAAAQWIL8XcDPHT9+XDt37tSgQYMUHh7uWb5582aVlpYqNTVVYWFhSk5O1vz58zVp0iRt3bq1yrbasNnq+2iaj0A+9kDEeAcWxjuwMN6BJZDGuzbH2qTCbW5urizL0oQJE3Tw4EElJCQoLS1NOTk5io+PV1hYmCQpLi5OTqdTkqptq422bVvX34E0I1FR4WdeCcZgvAML4x1YGO/AwnhXrUmFW6fTqV69emn27NmKiorSo48+qrlz56pnz56KjY31rGez2WS321VcXKzS0tIq2yIjI2u878OHS1TTqboOh92Y/1SFhWVyudz+LqNJY7wDC+MdWBjvwMJ4N182W81PRDapcDt+/HiNHz/e83rOnDlKTExUjx49FBIS4rVuaGioysvL5XA4qmyrTbi1LNU43JomUI87UDHegYXxDiyMd2BhvE+vyV1Q9nMRERFyu91q166dCgoKvNrKysoUHBysyMjIKtsAAAAQWJpUuF24cKE2bNjgeZ2dnS273a64uDjt2LHDszw/P18VFRWKjIxU//79q2wDAABAYGlS4bZPnz5aunSptm/frm3btiktLU3XXHONhg4dqpKSEmVlZUmSMjIyNGTIEDkcDiUkJFTZBgAAgMDSpObcTpgwQU6nU3feeafCw8OVmJio5ORkBQUFKS0tTSkpKVq8eLFcLpdWrlwpSdW2AQAAILA0qXArSSkpKUpJSTlleWJiojZt2qTs7GwNGDBA0dHRNWoDAABA4Ghy4bY6MTExiomJqXUbAAAAAkOTmnMLAAAA1AXhFgAAAMYg3AIAAMAYzWrOLYC6cTia/++zbrclt5vH8gAATo9wCwSAtq1byHK7FBER5u9S6sztcqmw6CcCLgDgtAi3QABo3SJENrtDP2bOVOWP3/m7HJ8Ft+uhdhMXyW63EW4BAKdFuAUCSOWP36nywDf+LgMAgAbT/CfgAQAAAP9BuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYIwgfxcA/3I4mv/vN263Jbfb8ncZQJPD+xtAICLcBqi2rVvIcrsUERHm71LqzO1yqbDoJ34AAv/B+xtAICPcBqjWLUJkszv0Y+ZMVf74nb/L8Vlwux5qN3GR7HYbP/yA/+D9DSCQEW4DXOWP36nywDf+LgNAA+D9DSAQNf8JWQAAAMB/cOYWAAADcAEhcALhFgCAZowLCAFvhFsAAJoxLiAEvBFuAQAwABcQAic0/wk6AAAAwH8QbgEAAGAMwi0AAACMQbgFAACAMbigDAAAoJnhvsZVI9wCAAA0E9zX+MwItwAAAM0E9zU+M8ItAABAM8N9javW/CdsAAAAAP9BuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjGFMuN25c6cmTZqkhIQEpaeny7Lq91FuAAAAaPqMCLcVFRVKSkpS3759tW7dOjmdTmVmZvq7LAAAADQyI8Lt1q1bVVpaqtTUVHXp0kXJyclau3atv8sCAABAIwvydwH1IScnR/Hx8QoLC5MkxcXFyel01mobdrtU25kM53aMVlhI8/wWdj07QpIU0r6PbMFhfq7Gd8Ftu3n+bW/gX9UYb/9jvGuG8a49xtv/GO+aCdTxttlqvm2bZcDk1EWLFunYsWN66KGHPMsuvvhivf3224qMjPRjZQAAAGhMRkxLcDgcCgkJ8VoWGhqq8vJyP1UEAAAAfzAi3EZGRqqgoMBrWVlZmYKDg/1UEQAAAPzBiHDbv39/7dixw/M6Pz9fFRUVTEkAAAAIMEaE24SEBJWUlCgrK0uSlJGRoSFDhsjhcPi3MAAAADQqIy4ok6TNmzcrJSVF4eHhcrlcWrlypXr16uXvsgAAANCIjAm3knTw4EFlZ2drwIABio6O9nc5AAAAaGRGhVsAAAAENiPm3AIAAAAS4RZo1goLC/X555+fcis8APg5PisQSAi3QDP15ptv6vLLL9fDDz+sUaNG6c0335QkZWVlaeTIkbrwwgs1bdo05efne/ps3rxZY8aM0XnnnafJkyd7Paa6un4A/OPWW29VZmam53VhYaFGjx7t9f7MzMxUXFzcKV8n+1X1WYGm5+fjvW7dOl155ZUaNGiQkpOTPb+YnGm8T3rssceUlJTU6MfQJFgwRkFBgTVq1Chr7969NVqem5trTZw40Ro0aJC1aNEiy+12e9reeecda/To0VafPn2s3/zmN9a3337bKMeAmikuLrYGDx5s5ebmWpZlWevXr7dGjhxp7d692xoxYoT11VdfWfv27bNSU1Ot3/72t5ZlWdbu3buthIQE680337R++OEH65577rGuvfZaT1tV/dC0/O53v7PWrVtnWVb17+Gq+tSmDf716quvWr179/aMz+HDh60pU6ZYvXv39vo8P3bsmFVcXOz52r9/vzV48GBrz549VX5WoOn5+Xh/+OGH1gUXXGB98MEHVn5+vnXbbbdZ119/vWVZ1Y/3Sbm5udaFF15o7d6921+H41ecuTVEQUGBkpKStG/fvhotr6ioUFJSkvr27at169bJ6XR6fuvbs2ePZs2apZSUFG3dulUdO3bUgw8+2GjHgjMrKyvTrFmz1Lt3b0nSueeeq+LiYv3rX/9SfHy8+vbtq44dO2rixInKy8uTJDmdTt17770aO3as2rVrp+uvv15fffWVJFXbD03Ha6+9pg8++EBS9e/hqvrUpg3+VVRUpPT0dHXv3t2zLDk5WWPHjj1l3ZCQEEVERHi+srKydPnll6tz585VflagafnleGdlZWny5MkaOnSoOnXqpBkzZuizzz5TYWFhteMtSZZlae7cubr55pvVpUsXfx6W3xBuDVHVh15Vy7du3arS0lKlpqaqS5cuSk5O1tq1ayVVH4LQNHTo0EHjx4+XJFVWVmrFihW6/PLL1bNnT3388cf617/+pZKSEr388ssaOnSoJGnUqFG6/vrrPdvIy8tT165dJanafmgafvnDr7r3cFV9atoG/0tPT1diYqIuuOACz7K0tDTdfPPN1fY7duyYXnzxRf3+97+XVPVnBZqWX453YWGhOnbs6Gm320/EtaCgIK9+vxxvSVq9erVycnIUGxurd999V5WVlQ1/AE1M0JlXQXOQlpamzp07a8GCBTVanpOTo/j4eIWFhUmS4uLiPPMvR40a5bXuz0MQmpacnBxNnTpVwcHB2rhxoyIiInTFFVfommuukSTFxsZqzZo1p/SrqKjQihUrNG3aNEknwm1N+sF/Tv7wO3bsmKTq38NV9alpG/zr448/1rZt2/TGG2/okUce8Sw/eWauOq+//rri4+MVGxvrtfyXnxVoOk433n369NGWLVt08803y2azKTMzU+eff75at27t1feX411WVqalS5eqa9euOnDggF599VU9/fTTevHFFxUaGtrox+YvnLk1RFUfelUtLy0t9frws9lsstvtp/y56mQIuuGGG+qvWNSbuLg4Pf/88+rZs6dSU1P1xRdf6N1339WaNWv0+eef68orr9Rtt90m6xe3s166dKlatmypKVOmSFKN+8E/Tv7wu//++z3LzvQePl2f6raHpuHYsWN66KGHNG/ePLVq1arW/VetWqXrrrvulOW//KxA01DVeP/ud79TZWWlJk6cqOuuu07PPPOMbrzxxlP6/3K833nnHf3000964YUXdNddd2nFihU6cuSIsrKyGuNwmgzCbYByOBwKCQnxWhYaGqry8nKvZb8MQWhabDabzjvvPC1atEhbtmzRK6+8onHjxun8889XeHi4/vjHPyo/P185OTmePh9++KFWrVqlP//5zwoODpYkbdiw4Yz94B9V/fCr7j1cXUCqa3hCw1q2bJn69eunkSNH1rrv7t27tWfPHg0ZMuSUtl9+VjDvtmmoarzbtGmjVatWaenSperdu7d69Oihq666ymud0433gQMHdP7556tNmzaSTkxjiIuLC7i73zAtIUBFRkZq165dXsvKyso8YUf6bwhavXq113L437Zt27R161Y98MADkk4EnZN+/PFHz7/Lysp09OhRuVwuSdLevXt13333ad68eerZs6dnPZfL5XX/y1/2g/9U9cOvuvdwdQGpLuEJDe/1119XYWGhBg0aJEkqLy/Xxo0b9eWXX2revHnV9t24caNGjhzp9Xld1WfFyTmc8K8zjffZZ5+td955R2lpaV6f89Lpx7t9+/anTDX6/vvvNXjw4IY/mCaEcBug+vfv73XxSX5+vioqKhQZGSmp6hCEpqFHjx6666671K1bN1166aVaunSphg4dqmHDhmnWrFl6/vnn1bZtW61Zs0bt2rVTXFycysvLdfvttysxMVFjxoxRWVmZJKlly5YaMGBAlf3gX1X98OvUqZOOHz/uWe/n7+HqfmBu3brV5/CEhvfyyy97jevixYsVHx/vmQ9fnffff18TJ070WlbVZ8Uv527CP8403n//+9/Vo0cPJSYmntL3dOM9cuRIPfLII/rf//1fjRo1Sps2bdI333yjJUuWNOyBNDGE2wCVkJCgkpISZWVlacKECcrIyNCQIUPkcDiqDUE2m83PlUOSYmJi9Ne//lULFy5Uenq6hg0bpj/96U+KiopSXl6eXnjhBf3www/q1auXnnjiCQUHB+u9996T0+mU0+nU6tWrPdvasmWLxo4dW2U/+Fd1P/zGjRt32vdwdX2SkpJ8Dk9oeO3bt/d63bJlS0VFRSk6OrrafuXl5dqxY4cefvhhr+VVfVagaahuvI8cOaLnnntOzzzzzCn9qhrvNm3a6Nlnn9WiRYu0aNEitWvXTn/5y19OucDQdDaLK0aMEhcXpy1btpzyH/l0yzdv3qyUlBSFh4fL5XJp5cqV6tWrlzZv3qy77rrrlG2fbrsAGtfMmTN10UUXaeLEiVW+h6vrU5s2AGiOCLcB7uDBg8rOztaAAQPOeGYAQNPDexgAvBFuAQAAYAwulwQAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAzURmZqZuuukmf5fh5ZNPPtHo0aPrvA4A1BfCLQBAo0eP1ieffFLrfgMHDtRrr73WABUBgG8ItwAAnwUFBalVq1b+LgMAPAi3AFAHN910k1JTUzVixAjNnDlTc+bM0aBBg/Tuu+/qyy+/1OTJkzVw4ED94Q9/UElJiVe/zMxM/e1vf9OoUaO0ZcsWT9u2bdt01VVX6cILL9T06dN14MABr32uXr1aQ4YM0SWXXKK33nrLs3zTpk264oordMEFF+imm27SwYMHJf13OsPp+t16662Ki4vTvn37NHXqVMXFxSkjI6PGx1/VlIM1a9bo0ksv1bBhw/T+++/XeHsAUFeEWwCooz179mjOnDlav369evfurZEjR2rLli267bbbNGLECL3++uv66aeftGjRIq9+r7zyij7++GOlpaXpwgsvlCTl5+frjjvu0C233KKNGzcqIiJCDz/8sKfPrl279Pbbb+vll1/WNddc49lmUVGRkpOTdccdd2jTpk1q06aNli1bdsZ+TzzxhLZv364OHTro6aef1vbt2zVt2rQ6fT9ycnL08MMPa+7cuXruuee0cePGOm0PAGqDcAsAdXTllVfq3HPPlSRNmTJFXbt2VWZmpoKDg3XXXXepY8eOmjZtmv7f//t/Xv2OHj2qJ598UsOGDVN0dLQk6Y033tCgQYM0ceJEtW/fXjNmzNDkyZO9+qSnp6tbt26aPHmy9u/fL0kKDw/XP/7xD11xxRXavXu3Kisr9e9///uM/Vq2bKmIiAjZ7XbPv0NCQur0/di8ebOGDh2qxMRExcXF6dZbb63T9gCgNoL8XQAANHehoaGn/DsoKEgFBQVKSEiQJLndbpWVlenYsWOeda677joFBwd7bevAgQPq1KmT53X79u3Vvn17z+tzzjlH7dq1kySvvpZl6c9//rPeeecd9ezZU61atZLb7T5jv4Zw6NAhr5o7d+7coPsDgJ8j3AJAA3C5XOrXr5+WLFki6UT4LC0tVVDQfz92w8LCTunXoUMHffrpp57XeXl5uvfee5WZmSlJVV689cYbb+jTTz/Ve++9p/DwcL300kte83HPdNGXzWaTZVk1P8BqtG3bVrm5uZ7XJ88SA0BjYFoCADSAESNG6Pvvv9eXX34ph8OhDRs2aPr06WcMkOPGjdNnn32mzMxM7d+/X8uXL1fbtm1lt1f/cX306FFJUnFxsd577z0tX768VmG1a9euev/993Xo0CFt27atxv1OZ8yYMfrggw/03nvvadeuXXruuefqtD0AqA3CLQA0gIiICC1btkx/+9vf9Otf/1rvvPOOli9f7nXm9nRiY2M9/caNG6cjR45owYIFZ9zfhAkT1K1bN40dO1ZPPfWUrr32Wn333Xc6duxYjeqdMWOG3n//fY0ZM0ZPPvlkjfpUpV+/fpo5c6Zmz56t3//+9xo+fHidtgcAtWGz6uvvUAAAAICfMecWAHCK77//XuPHjz9t25AhQ/T44483ckUAUDOcuQUAnOL48eOnPDzipBYtWnjuvAAATQ3hFgAAAMbggjIAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxvj/Mp3Wxph3cjoAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 167
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:31.083074Z",
     "start_time": "2024-09-18T13:10:30.401108Z"
    }
   },
   "cell_type": "code",
   "source": [
    "user_repeat_buy = [rate for rate in train_data.groupby(['user_id'])['label'].mean() if rate <= 1 and rate > 0]\n",
    "plt.figure(figsize=(8, 6))\n",
    "ax = plt.subplot(1, 2, 1)\n",
    "#直方图\n",
    "sns.distplot(user_repeat_buy, fit=stats.norm)\n",
    "ax = plt.subplot(1, 2, 2)\n",
    "#qq图\n",
    "res = stats.probplot(user_repeat_buy, plot=plt)"
   ],
   "id": "650a64aa48b5f4e0",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 168
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:32.270339Z",
     "start_time": "2024-09-18T13:10:31.086591Z"
    }
   },
   "cell_type": "code",
   "source": [
    "\n",
    "train_data_user_info = train_data.merge(user_info, on='user_id', how='left')\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.title('Gender VS Label')\n",
    "#   确定索引类型是否出错\n",
    "# print(train_data_user_info.index.dtype)\n",
    "# 将数据框转换为字典再转换回数据框\n",
    "temp_dict = train_data_user_info.to_dict()\n",
    "train_data_user_info = pd.DataFrame(temp_dict)\n",
    "\n",
    "ax = sns.countplot(x='gender', hue='label', data=train_data_user_info)\n",
    "for p in ax.patches:\n",
    "    height = p.get_height()\n"
   ],
   "id": "539099b6158ed7d6",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 169
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:32.656712Z",
     "start_time": "2024-09-18T13:10:32.271233Z"
    }
   },
   "cell_type": "code",
   "source": [
    "repeat_buy = [rate for rate in train_data_user_info.groupby(['gender'])['label'].mean()]\n",
    "plt.figure(figsize=(8, 6))\n",
    "ax = plt.subplot(1, 2, 1)\n",
    "sns.distplot(repeat_buy, fit=stats.norm)\n",
    "ax = plt.subplot(1, 2, 2)\n",
    "res = stats.probplot(repeat_buy, plot=plt)"
   ],
   "id": "ce300d675ffa1bcf",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ],
      "image/png": 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hhBBCtGiG5f/GuOLfuHU6z21+vV7tSIAUqUIIIYQQLZZSVkrMkxMAqHp4LM5eWSonOkmndgAhhBBCCKEO09OT0Bw9gqNbd6rGT/S7ndMJublaiosVkpPdDBzoRKsNbDYpUoUQQgghWiDDl6uI+Pgj3Iriuc1vNPrVbsUKHVOmGCksPHlDvl07F889V8M11zgClk9u9wshhBBCtDCKxYzpsbEAVN8/Eke/AX61W7FCx733RlBYWHsXqsOHFe69N4IVKwLX/ylFqhBCCCFECxM9YyraQwU40zpSOekZv9o4nTBlihG3G6B2kep2ez6fMsWI0xmYjFKkCiGEEEK0IPp1a4lc8DYA5tmvQXS0X+1yc7UnbvErZ3zc7VYoLNSQmxuYwalSpAohhBBCtBTV1ZjGjfH89U93Yb/0Mr+bFhefuTht6HHnIkWqEEIIIUQLET3zBXR78nGmtKXy2efq1TY52R3Q485FilQhhBBCiBZAt3EDkW+9DoDl5bm4Y+Pq1X7gQCft2rlQlDMXoYripl07FwMHBmZQqhSpQgghhBDNnc1GzNgxKC4X1htHYLtqWL2fQquF556rATitUPV+/txzNQFbL1WKVCGEEEKIZi7q1VfQbf8FV0ICludfbvDzXHONg7/9zUrbtrWL1LZt3fztb9aArpMqi/kLIYQQQjRj2u3biJo7CwDL8zNxJyY26vmuucbBsGEO2XFKCCGEEEI0kNNJzLjRKHY7NVcNo+bGmwPytFotXHxxgBZErYPc7hdCCCGEaKYi/zoP/U8bcMXEYpk5B5TALA8VDKoUqUuXLuWyyy6jb9++3H333RQUFACwc+dORowYQb9+/cjJycHtDswSBkIIIYQQLY1mTz7RL80AoHLa87jatlM5Uf0EvUg9cOAAc+fO5c033+TTTz+lXbt2TJo0CZvNxsiRI8nMzGTx4sXk5+ezZMmSYMcTQgghhAh/Lhcx4x9GsVqxXXIZ1tvvVDtRvQW9SN22bRu9e/cmMzOTdu3acdNNN7F3717WrFmDxWJh0qRJpKWlMX78eBYtWhTseEIIIYQQYS/ivQUYvvsWd1QU5ldeDavb/F5BnzjVtWtXcnNz2bZtGx06dODDDz/k4osvJi8vj969exMZGQlARkYG+fn59X7+UHoPvFlCKVN9hfs5nC2/opzcfTiUTk+hdt7m/B6Ei+ZwDkKIlkNzqIDo6c8AUDnpaVwdO6mcqGFUKVKvuuoqbrzxRgBSU1P55JNPmD9/Pqmpqb7jFEVBo9FQXl5OXJz/OyIkJMQEPHNjhWKm+gr3c6grf3VZFaboCPQOV5ATnZlRpyEyykBC66jTHmuu70E4iY8P/3MQQjRzbjemxx5FYzFjv7A/1feNVDtRgwW9SN20aROrV6/mk08+oUuXLsyfP5/777+fgQMHYjAYah1rNBqxWq31KlJLSsyEynwrRfH8YA6lTPUV7udwtvyKolBtdWCptFJjD40i1a7XUF1lo8Tl8k0cbM7vQbjwnkNpqVkKVSFESDMuWojxyy9wGwyY575JwBcvDaKgF6mfffYZw4cPJysrC4CxY8fyz3/+k7i4OHbt2lXr2MrKSvR6fb2e3+0m5H4QhmKm+gr3c6grv/uUP0OBmzPnba7vQTgJ9/xCiOZNOXIE05SJAFRNmIize4bKiRon6EWq0+mktLTU93llZSVVVVXodDo2b97s+3pBQQE2m61evahCCCGEEC2VafLjaMrKsJ+fRdWYsWrHabSgz+7Pzs7miy++4O9//zvLly/noYceIjExkTvuuAOz2czSpUsBmD9/PoMGDUIbxt3UQgghhBDBYPh0ORHL/oVbq8Xy6ptQzzvRoSjoPalXX301e/fu5d133+Xo0aN069aN119/Hb1ez4wZM5gwYQIzZ87E6XTywQcfBDueEEIIIURYUY6XYZo4HoDqMWNx9OqtcqLACHqRqigKY8aMYcyYMac9NnToUFatWsXWrVvJzs4mPj4+2PGEEEIIIcKK6ZnJaI8U4+jajcoJE9WOEzBBL1LPJTk5meTkZLVjCCGEEEKEPP3qL4n45z9wKwrmOW9CRITakQIm6GNShRBCCCFEAFgsxDz2KADV9z6AY8BAlQMFlhSpQgghhBBhyPT8s2gPHsCZlk7l5Klqxwk4KVKFEKKJ7dy5kxEjRtCvXz9ycnJ8GzWczQ8//MCwYcMYMGAACxYsOOMx48aNY8aMGbW+9vbbbzNo0CCys7N5+OGHKSsrC8g5CCFCiy53HZF/mw+AedarYDKpnCjwpEgVQogmZLPZGDlyJJmZmSxevJj8/HyWLFly1jalpaWMGjWK4cOHs3DhQpYvX05ubm6tY7755htyc3N59NFHfV9bv349S5cu5YMPPuBf//oXNTU15OTkNMl5CSFUVF1NzLjRnr/+8Q7slw1ROVDTkCJVCCGa0Jo1a7BYLEyaNIm0tDTGjx/PokWLztpm2bJlJCUlMXr0aDp27MhDDz1Uq43VamXatGlMmDCB2NhY39e3bNnCpZdeSufOnUlPT2f48OHs27evqU5NCKGS6FkvocvfjTM5hcppz6sdp8lIkSqEEE0oLy+P3r17ExkZCUBGRgb5+flnbbNjxw4GDhyIoigAZGVlsW3bNt/j8+bNw2q1otPpWLdunW/4QLdu3fjiiy84cOAAJSUlLFq0iEGDBtU7s6K0zI+WfO5y3cLn2um2bCRy3msAVM6cDa1aqX4eDTlvf4TcElRCCNGcWCwWUlNTfZ8rioJGo6G8vLzObZ8tFgtdunTxfW4ymSguLgagsLCQBQsWkJWVRWFhIe+99x5t27bljTfe4NJLLyU9PZ0rrrgCgF69evHAAw/UO3NCQky92zQXLfncG0OuW8PV69rZbDD+YXA64fe/J/bO25ouWAiQIlUIIZqQVqvFYDDU+prRaMRqtdZZpJ7axns8wJIlS0hMTGTBggUYDAbuvPNOhgwZwtq1a6moqKCwsJDPP/+c+Ph4cnJyePzxx3n99dfrlbmkxIwfc7uaFUXxFAst8dwbQ65bwzXk2kW+MpPoLVtwxcdT9uyLuI+ZmzZkE/Cetz+kSBVCiCYUFxfHrl27an2tsrIS/Vn21Y6Li6O0tPSMxxcXFzNw4EBfEWsymUhPT6egoIBvvvmG2267jc6dOwPw1FNPccEFF1BRUVFr7Oq5uN202IKjJZ97Y8h1azh/r512Rx5Rs2cCYHkuB1diEjTzay5jUoUQogn16tWLzZs3+z4vKCjAZrPV2Yt6pjbbt2/37cSXkpJCTU2N7zGXy0VRURHt2rXD6XRy7Ngx32NHjhwBwOl0Bux8hBAqcDqJGfsQis1GzRVXUTPi92onCgopUoUQogn169cPs9nM0qVLAZg/fz6DBg1Cq9VisViw2+2ntRkyZAgbNmwgNzcXh8PBO++8w+DBgwEYNmwYq1evZuXKlRQVFfHKK69gs9nIzs4mOzubjz/+mI8++oh//etfjB8/nr59+9K6detgnrIQIsAi/+8t9Bt+xBUTi+XlufWbfRTG5Ha/EEI0IZ1Ox4wZM5gwYQIzZ87E6XTywQcfAHDdddcxefJkhg4dWqtNfHw8EydO5L777sNkMhEVFcXzz3uWmencuTNz5sxh7ty57Nmzh7S0NObNm4fJZOKuu+7iyJEjzJs3j7KyMvr27etrJ4QIT5q9e4h+0bNpR+XUGbjatVc5UfAobn+2Pgkjx46FzuBtRYHExJiQylRf4X4OZ8uvKAqlNQ7W5R/DanepE/AUEXoNF3VJJN6o8y0r1Jzfg3DhPYeSEnODZzEXFxezdetWsrOziY+P96vN/v37yc/Pp3///piCuJtMOL9XDdUcvk/VINet4fy6dm43cSOuxfDtGmwXX0L54uWgCe+b4N7z9of0pAohRBAkJyf7xpX6Kz09nfT09CZKJIQIdRHv/x3Dt2twR0Zinv162Beo9dWyzlYIIYQQIgxoCg8RPe1pACqffBpXp84qJwo+KVKFEEIIIUKJ243piXFozBXYL7iQ6gdGqZ1IFVKkCiGEEEKEEOOSTzCu+g9uvR7znDdBq1U7kiqkSBVCCCGECBHK0aOYnnoCgKrxT+A8r4fKidQjRaoQQgghRIgwPfU4mtJSHD3Pp+qR8WrHUZUUqUIIIYQQIcDw+adELF2CW6PB/OqbcJbtk1sCKVKFEEIIIVSmlB/H9MQ4AKofegRH774qJ1KfFKlCCCGEECqLfnYK2uIiHJ27UPn4JLXjhAQpUoUQQgghVKT/32oi//EeAJa5b0JkpMqJQoMUqUIIIYQQarFYiJnwCADV99yPfeAglQOFDilShRBCCCFUEv3CdLQH9uNM7UDllGfVjhNSpEgVQgghhFDD2rVEvP1XAMyvvIbbFKNyoNAiRaoQQgghRLBZrXDvvShuN9Zbb8f+28vVThRypEgVQgghhAiyqFk5sGMHrqQ2WKY9r3ackCRFqhBCCCFEEOm2bibyjbkAWGbOxt06Xt1AIUqKVCGEEEKIYLHbMT06GsXphJtvxnbNdWonCllSpAohhBBCBEnUm6+i/3kLrtat4Y031I4T0qRIFUIIIYQIAu3OHUTNegmAyudeguRklROFNilShRBCCCGamtNJzNjRKDYbNZdfQc0tt6qdKORJkSqEEEII0cQi//ZX9D/+gCvahGXWq6AoakcKeVKkCiGEEEI0Ic2+vUS/MB2Aymem42qfqnKi8CBFqhBCCCFEU3G7iZnwKEpVFbaLLsZ61z1qJwobUqQKIYQQQjSRiA/fx/DN17gjIrDMeR00Unr5S66UEEIIIUQT0BQdJnrqUwBUTpyCs3NXlROFFylShRBCCCECze3G9MQ4NBXl2PtmU/3gQ2onCjtSpAohhBBCBJhx6WKM//kMt16Pee480OnUjhR2pEgVQgghhAgg5dgxTJMfB6Bq7GM4e/RUOVF4kiJVCCGEECKATFOeQFNSgqNHT6oenaB2nLAlRaoQQgghRIAYVn5OxJJFuDUazHPfBINB7UhhS4pUIYQQQogAUCrKMT0+FoDqkWNw9L1A3UBhTopUIYQQQogAiJ72NNqiwzg6dabyiclqxwl7UqQKIYQQQjSS/pv/Efn+3wGwzH0ToqLUDdQMSJEqhBBCCNEYlZXEjHsYgOq778V+0cUqB2oepEgVQgghhGiE6JdmoD2wD2f7VCqfnqZ2nGZDilQhhBBCiAbSrf+eyPlvAWCZNRd3TKzKiZoPKVKFEEIIIRqipoaYcWNQ3G6st9yK7fIr1U7UrEiRKoQQQgjRAFFzZqLbuQNXYhKWGS+qHafZkSJVCCGEEKKetD9vJeq1OQCYc17BHZ+gcqLmR4pUIYQQQoj6cDiIGTsaxeGgZvh12K69Qe1EzZIUqUIIIYQQ9RA57zX0WzbhatUK80uvqB2n2ZIiVQghmtjOnTsZMWIE/fr1IycnB7fbfc42P/zwA8OGDWPAgAEsWLDgjMeMGzeOGTNm1PsxIUTDaXfvIvplz/hTy/QXcScnq5yo+ZIiVQghmpDNZmPkyJFkZmayePFi8vPzWbJkyVnblJaWMmrUKIYPH87ChQtZvnw5ubm5tY755ptvyM3N5dFHHz2t/dkeE0I0gsvluc1fU4Ptt5dT84c/qp2oWZMiVQghmtCaNWuwWCxMmjSJtLQ0xo8fz6JFi87aZtmyZSQlJTF69Gg6duzIQw89VKuN1Wpl2rRpTJgwgdjY2msynu0xIUTjRLwzH/0PubiiTZhnvQqKonakZk2KVCGEaEJ5eXn07t2byMhIADIyMsjPzz9rmx07djBw4ECUEz8As7Ky2LZtm+/xefPmYbVa0el0rFu3rtbwgbM95i9FaZkfLfnc5bqd+0N7cD+m56YBUPX0s7jT0uTaNeK8/aGr9/9eQggh/GaxWEhNTfV9rigKGo2G8vJy4uLi6mzTpUsX3+cmk4ni4mIACgsLWbBgAVlZWRQWFvLee+/Rtm1b3njjDQ4fPlznY0o9fjIkJMQ08GzDX0s+98Zo9tfN7YY/joeqSrjkEkyPj8OkCUw/X7O/do0gRaoQQjQhrVaLwWCo9TWj0YjVaq2zSD21jfd4gCVLlpCYmMiCBQswGAzceeedDBkyhLVr17Jp06Y6Hxs8eLDfmUtKzDSgAzasKYqnWGiJ594YLeW6GT/8gJgvvsAdEUHZy3NxlVY2+jlbyrU7lfe8/SFFqhBCNKG4uDh27dpV62uVlZXo9fqztiktLT3j8cXFxQwcONBXxJpMJtLT0ykoKDjrY/XhdtOifmj+Wks+98ZoztdNU1xE9DOTAah8fDLOzt0ggOfanK9dY8mYVCGEaEK9evVi8+bNvs8LCgqw2Wx19qKeqc327dtJPrHMTUpKCjU1Nb7HXC4XRUVFtGvX7qyPCSEawO3G9MR4NOXHsffuS/WoMWonalGkSBVCiCbUr18/zGYzS5cuBWD+/PkMGjQIrVaLxWLBbref1mbIkCFs2LCB3NxcHA4H77zzju92/bBhw1i9ejUrV66kqKiIV155BZvNRnZ29lkfE0LUn3HZvzB+vgK3Tod57pugkxvQwSRXWwghmpBOp2PGjBlMmDCBmTNn4nQ6+eCDDwC47rrrmDx5MkOHDq3VJj4+nokTJ3LfffdhMpmIiori+eefB6Bz587MmTOHuXPnsmfPHtLS0pg3bx4mkwmTyVTnY0KI+lFKSjBNegyAqkfG48w8X+VELY/ibsj6JCHs2LHQGYCsKJCYGBNSmeor3M/hbPkVRaG0xsG6/GNY7S51Ap4iQq/hoi6JxBt1vqWDmvN7EC6851BSYm7wTNzi4mK2bt1KdnY28fHxfrXZv38/+fn59O/fP6iFZji/Vw3VHL5P1dCcr1vMqPuIWPwxjozzKPvvN2A0BvT5m/O1OxvveftDelKFECIIkpOTfeNK/ZWenk56enoTJRJC1MXwxX+IWPwxbo3Gc5s/wAWq8I+MSRVCCCGEOEExV2B6fBwA1Q88hOOCfionarmkSBVCCCGEOCF62jNoCw/h7NiJyienqB2nRZMiVQghhBAC0K/9hsj33gHAPOcNiIpSOVHLJkWqEEIIIURVFTHjPOugVt95D/aLL1E5kJAiVQghhBAtXvRLz6Hdtxdnu/ZUTp2udhyBFKlCCCGEaOF0G9YTOX8eAJaX5+COiVU5kQApUoUQQgjRktXUEDN2NIrLhXXE77Fd8Tu1E4kTpEgVQgghRIsVNXcWuh15uBITsTyXo3Yc8StSpAohhBCiRdL+8jNRr74CgOXFWbgTElROJH5NilQhhBBCtDwOh+c2v8NBzbBrqLnuRrUTiVNIkSqEEEKIFifyrTfQb96IK64VlpmzPZvKi5AiRaoQQgghWhRt/i6iX34BAMv0F3Alp6icSJyJFKlC/Irb5cLtdqsdQwghRFNxuYgZOwbFasX2m99Sc+vtaicSddCpHUCIUFB2pJDvP1/I7k3f4bDbiE/pQPaQ68gcOBRFI7/LCSFEcxHx97+h/34d7qhozK+8Jrf5Q5gUqaLF2/PzBpb+30xs1irf10qLDvLfD99k//ZNXHXnWHR6g4oJhRBCBILm4AGiZ0wFwDJlKq60dJUTibORIlW0aDvzfmHxW8/jdNhp17kHl9z4Z2JaJ5L34//4bvk/2LVxLeDm6nueQJHftoUQIny53cQ89iiaSgv2/gOx3vOA2onEOch9TNFiHT9+nBenPonTYafz+f0Y8cgM2nbKwNQqgQuH3sQNo55Go9Wxa+N3bFy9TO24QgghGsG48EMMq7/EbTRinvsmyFCukCfvkGix/vKX1yktOUZCSipX3TUerU5f6/G08/rwm5vuAWDtsvcpP1akRkwhhBCNpBQXY3pmEgCVj0/C2bWbyomEP6RIFS3S1q1b+PRTT+/osDsexhgZdcbjsi69mrSM3jgddv635J1gRhRCCBEgMU9OQHP8OPasPlQ/9IjacYSfpEgVLdLbb78FwNDfXUNq1551HqcoCr+5+T40Gi17tnzPofxtwYoohBAiAAzLl2L8dBlunQ7znDdAJ9NxwoUUqaLF2bx5Ixs3bkCn03Hrnfed8/iEtmn0vGgoAOtXLmrqeEIIIQJEKSslZuIEAKoeHouzV5bKiUR9SJEqWpwPPvg7AFdffS1JbZL9anPh0BtRFA37tm3gyME9TZhOCCFEoJienoTm2FEc3TOoGj9R7TiinqRIFS3KwYMH+P77dSiKwh//eKff7VoltaX7BYMB2PT18qaKJ4QQIkAMX64i4uOPcCuK5za/0ah2JFFPqhaps2bNYuTIkb7Pd+7cyYgRI+jXrx85OTmyPaUIuGXL/gVA//4X0b59ar3a9r50OAA7f/oWa5Ul4NmEEEIEhmKuwPTYWACqHxiFo98AdQOJBlGtSN25cycffvghkydPBsBmszFy5EgyMzNZvHgx+fn5LFmyRK14ohmqqanh8889vaA33jii3u3bdsogsV06DruNvB++DnA6IYQIL04nrF2r5aOPPH86nWonOil6xlS0hwpwpnek8smn1Y4jGkiVItXtdvPMM89w1113kZaWBsCaNWuwWCxMmjSJtLQ0xo8fz6JFMklFBM66dWupqKggKakNAwYMqnd7RVHodfFVAPyS+99AxxNCiLCxYoWOCy6I5oYbovjjH+GGG6K44IJoVqxQf+a8/rtvifz73wAwz34doqNVTiQaSpUi9eOPPyYvL4/U1FRWr16N3W4nLy+P3r17ExkZCUBGRgb5+fn1fm5FCa2PUMzU0s7Bm/+///0PAFdccRU6ndbzuPf7xs+PjAsuQaPRcrRgL6VFB/1u5++HL0szfQ/C+cN7DkK0dCtW6Lj33ggKC2v/gzh8WOHeeyPULVSrqjCNGwNA9Z/uwn7Jb9TLIhot6N9JlZWVzJ07l/T0dIqKivj3v//NX/7yF/r27Utq6skxgoqioNFoKC8vJy4uzu/nT0iIaYrYjRKKmeor3M9Bp3Oxbt1aAP7wh5tJTPScT3VZFaboCPQOl1/PYzJF0KXXheza/D17t3xHete7AprTqNMQGWUgofXpmwuE+3sQ7vkB4uPD/xyEaAynE6ZMMeKZMlK7SHW7FRTFzZQpRoYNc6DVBj9f9MwX0O3dgzOlLZXPPhf8ACKggl6kfvHFF1RXV/Puu+/SqlUrHnzwQa699loWL17MTTfdVOtYo9GI1WqtV5FaUmImVOZbKYrnB3MoZaqvcD8Hb/6lS1dgt9vp3Lkr8fFtOXbMjKIoVFsdWCqt1Nj9K1IBuva5mF2bv2frutVccMXvUQLYvWbXa6iuslHicvkmDjaX9yBc88PJcygtNUuhKlq03FwthYV134R1uxUKCxVyc7VcfHFwB6nqNm4g8i9vAGB5eS7uWP9rBxGagl6kFhUVkZWVRatWrTwBdDoyMjI4dOgQpaWltY6trKxEr9ef4Vnq5nYTcj8IQzFTfYX7OaxZ8zUAv/3t5bXOw33Kn/7olNUfnd7A8aOHOVq4n6T2HQOU8mSWM13vcH8Pwj0/hH9+IRqruNi/X8r9PS5gbDZixo5Bcbmw3nQztquGBff1RZMI+pjUlJQUampqan2tsLCQiRMnsnnzZt/XCgoKsNls9epFFeJMKisr+fHHHwC45JLLGv18BmMkaef1ASB/S26jn08IIcJFcrJ/v6n5e1ygRL36Crrtv+BKSMDy3MygvrZoOkEvUi+77DLy8/P56KOPKCoq4r333mP79u0MHjwYs9nM0qVLAZg/fz6DBg1Cq8agFtGsfPPNN9hsNtq370CnTp0D8pxdsjxr7u3Z8kNAnk8IIcLBwIFO2rVzoShnLkIVxU27di4GDgzerX7t9m1EzZ0FgOWFl3EnJgbttUXTCnqR2qpVK95++23+/e9/c9VVV/Huu+8yZ84c0tPTmTFjBlOnTmXQoEGsXLmSCRMmBDueaIa++uorAC655DcBGz/a6fx+KIqGIwfzqSg9GpDnFEKIUKfVwnPPee6Gnlqoej9/7rma4E2acjiIGfsQit1Oze+upuaG+q+BLUKXKutE9OnTh3/+85+nfX3o0KGsWrWKrVu3kp2dTXx8vArpRHPidDr55ptvABg0aHDAnjcqJo62nc+jMH8be3/5kd6XyPgnIUTLcM01Dv72NytTphhrLUPVtq2b556r4ZprHEHLEvnXeeg3/oQrNg7LzDmyTlwzo/6qu6dITk4mOTlZ7RiimcjL287x48eJjo7m/POzAvrcHXtmU5i/jf3bN0qRKoRoUa65xsGwYQ6+/15LVVUUUVFVDBjgDOqyU9o9u4nO8SwzVfnsc7hS2gbvxUVQqLYtqhDB8MMP6wC48MIB6HSB/Z2sY89sAA7u2IzTYQ/ocwshRKjTauHii53cdpvnz6BOIXG5MI1/BMVqxXbJZVhvvzOILy6CRYpU0azl5nqK1AEDBgb8uZPadyIqJg57jZXCPXkBf34hhBBnFvHeAgzffYs7Kgrz7NfkNn8zJUWqaLbMZjN5edsA6N//ooA/v6LRkHZeXwD2b/8p4M8vhBDidJpDBURPfwaAysnP4ErvqG4g0WSkSBXN1tatm3C5XKSlpTXZOOe083oDULDr5yZ5fiGEEL/idmN67FE0FjP2C/tTfe+DaicSTUiKVNFsbdzo6d3s379/k71GarfzASg+sBubtarJXkcIIQQYP/knxi+/wG0wYJ77JsEdCCuCTYpU0Wxt2rQBaNoiNTa+DbEJbXC7XDIuVdRp586djBgxgn79+pGTk4Pbj/1Vf/jhB4YNG8aAAQNYsGDBGY8ZN24cM2bMOONjdruda6+9lu+//75R2YUIFcqRI5iefhKAqseexNk9Q+VEoqlJkSqaJbPZzK5dOwHo169fk75W+66e3tRDu39p0tcR4clmszFy5EgyMzNZvHgx+fn5LFmy5KxtSktLGTVqFMOHD2fhwoUsX76c3NzaW/B+88035Obm8uijj57xOd5++2127twZsPMQQm0xkx5DU1aG/fwsqkaf+fteNC9SpIpmyTseNTW1AykpKU36Wt5b/gW7ZVyqON2aNWuwWCxMmjSJtLQ0xo8fz6JFi87aZtmyZSQlJTF69Gg6duzIQw89VKuN1Wpl2rRpTJgwgdjY2NPa79u3j3feeYf27ds3KLOitMyPlnzuoX7djJ8uw7h8KW6tFsurb6IY9Kqfd7hcu1D88FfILeYvRCBs2rQRgD59spv8tVJP9KQW79uFvcaK3hjR5K8pwkdeXh69e/cmMjISgIyMDPLz88/aZseOHQwcOBDvNr5ZWVnMnj3b9/i8efOwWq3odDrWrVtX61iAZ555hvvvv9+321p9JSTENKhdc9CSz70xmvS6lZXBpMcAUJ54gtZDArd7YCiQ77m6SZEqmiXveNS+fS9o8teKTWhDTOtEzGXHOLw3j7Tz+jT5a4rwYbFYSE1N9X2uKAoajYby8nLi4uLqbNOlSxff5yaTieLiYgAKCwtZsGABWVlZFBYW8t5779G2bVveeOMNFEVh8eLFWCwW7rnnngYXqSUlZvwYNtusKIqnWGiJ594YwbhupocfJqKoCEe37hx/aBwcMzfNCwVZS/2e8563P6RIFc2OxWJh584dAPTp07fJX09RFNp3PZ+89V9TsPsXKVJFLVqtFoPBUOtrRqMRq9VaZ5F6ahvv8QBLliwhMTGRBQsWYDAYuPPOOxkyZAhr166lZ8+ezJ49m7fffrtRO6y53bSoH5q/1pLPvTGa6rrpv/ovEf/8B25FwTznTdzGCGhm7498z9VNxqSKZsc7HrV9+w60adM066Oeyjsu9ZCslypOERcXR2lpaa2vVVZWotfr/W7z6+OLi4sZOHCgr4g1mUykp6dTUFDA888/z80330yPHj2a4EyECC7FYibmMc8Eqer7HsTRf4DKiUSwSZEqmp2T41GbvhfVy1ukFu3ficNWE7TXFaGvV69ebN682fd5QUEBNputzl7UM7XZvn27b0OKlJQUampOfo+5XC6Kiopo164dK1as4P333+fCCy/kwgsvZMOGDYwcOZL58+c3wZkJ0bSin3sWbcFBnGnpVE56Ru04QgVSpIpmZ9s2T29mr169g/aacYkpRMfF43Q4KDqwO2ivK0Jfv379MJvNLF26FID58+czaNAgtFotFosFu91+WpshQ4awYcMGcnNzcTgcvPPOOwwe7JksMmzYMFavXs3KlSspKirilVdewWazkZ2dzZdffsmyZctYunQpS5cu5fzzz+e5557j1ltvDeYpC9Fo+tzviHzn/wAwz3oVTCaVEwk1yJhU0aw4HA7y8rYB0LNnZtBeV1EU2nbMYPfmdRTt20Fq1+C9tghtOp2OGTNmMGHCBGbOnInT6eSDDz4A4LrrrmPy5MkMHTq0Vpv4+HgmTpzIfffdh8lkIioqiueffx6Azp07M2fOHObOncuePXtIS0tj3rx5mEwmTKf8IDcajSQmJp5xmSohQlZ1Naaxoz1//eMd2C8bonIgoRYpUkWzsmdPPjU1NURHR5OW1jGor53SqfuJIlUWUG9uDhzYT2KiZ0jHF198gcvl4sorr6y17NPZDB06lFWrVrF161ays7OJj48H4Kuvvqqzze23387gwYPJz8+nf//+tQrQyy67jMsuu+ycr/v+++/7lU+IUBI96yV0e/JxJqdQOe15teMIFUmRKpqVbdu2AtCjx/loNMEdzZLS0bNFnxSpzcs//vEu7777Dj/9tIE333yVVav+A8C6det49tln/X6e5ORk37hSf6Wnp5Oenl6vNkKEM93mjUTOew0Ay8w5uONaqRtIqErGpIpmZds2z9akmZnnB/21kzt0QdFosBwvwVx2LOivL5rGwoUf8tprb6EoCv/5z2f84x//4O9//zufffaZ2tGEaF5sNmIeHY3idGK94SZsw4arnUioTIpU0ax4J0317Bn8IlVvjCChrafXS3pTmw+bzUZsbCz5+fkYjRGkp6ejKIrft/qFEP6Jen0Oum0/44qPx/LCLLXjiBAgt/tFs1FRUc6BA/uB4E6a+rW2Hbtz7NBeivbvpFvfQapkEIF18cWXMGHCI2g0CkOHXklBQQHPPvssF198sdrRhGg2tHnbiZo9EwDL8zNxJyaqnEiEAilSRbOxfbtnVn/79h2IU2kcU0rH7mxdu1J6UpuRJ598ms8+W0ZiYisuuug3lJcfJTs7m/vvv1/taEI0D04nMeNGo9jt1FxxFTU33aJ2IhEipEgVzYb3Vr8a41G9Ujp2B6D4wG5cTicarVa1LCIw9Ho9N9wwgsREzx7b3bt3p3v37mrHEqLZiJz/FvoNP+KKicXy8lzP5u5CIGNSRTOi5nhUr/jkVAwRUThsNRw7vF+1HCKwtm7dzKxZs5g69SkOHTrEzJkza+36JIRoGM3ePUS/NAOAyqkzcLVrr3IiEUqkSBXNgsvlUnVmv5ei0ZCS3g2Aor07VMshAueTT/7J+PGPcPjwYdas+Rq73c7WrVuZNm2a2tGECG9uNzETHkGprsY2+FKsd9ytdiIRYqRIFc3CoUMFmM0VGAwGunTppmoW7y1/GZfaPPzjH+8yd+6bvPLKKxgMBgwGA1OnTuW///2v2tGECGsR7/8dw7drcEdGYn7lNbnNL04jRapoFnbu9PRadunSDZ1O3aHWviJ1/y5Vc4jA0Ol0p/3sdLlcREdHqxNIiGZAU3iI6GenAFA56WlcnTqrnEiEIpk4JZqFnTu3A5CRcZ7KSaBNhy4AlBUfwm6rQW8wqpxINMZNN93CY489yq233orD4WDlypWsWLGCP/3pT2pHEyI8ud2YHh+LxmLGfkE/qu8fpXYiEaKkSBXNgrcntXv3DJWTQHRcPFExragyH+fYoX207aR+JtFwf/zjnSQkJPDllytJTk7hm2++4a677uK6665TO5oQYcm4+GOMX6zEbTBgnvsmyCooog5SpIqw53a7fUVqt27q96QqikKbDl3Yt20DRw7mS5HaDPzud8P5059upaTETEJCjNpxhAhbytGjmKZMBKBq3OM4Q+DulwhdUqSKsHf4cCFmcwU6nY7OnbuoHQeANh06+4pUEd4efvhBFEVBr9ditzvR60/2+rz33nsqJhMi/JieehxNaSmOnudT9ch4teOIECdFqgh73l7Uzp27otfrVU7j4R2XeuTgHpWTiMa6+uprAYiJieDYsePs2bOTL7/8kocffljlZEKEF8PnnxKxdAlurRbzq29CiPx/LUKXFKki7O3alQeExnhUr6QOnpmqJYcP4LDb0cl/xmFr2LBrUBR8O04lJMSwceNG/vrXv3LHHXeoHU+IsKCUH8f0xDgAqh96BEfvvionEuFAlqASYW/HDk+RGgoz+71i49tgjDLhcjooLTqgdhwRYH379iU/X4ZyCOGv6KlPoS0uwtGlK5WPPal2HBEmpCdVhLVQmzTl5Zk81ZmDO7Zw5GC+7/a/CD8LFvwfAFFRBqqrbRiNOjZu3Eh8fLzKyYQID/qvvyLyw/dxKwrmOW9CZKTakUSYkCJVhLUjR45w/HgZWq2WLl26qh2nljYdupwoUmVcajg7fLgQgIgIPVarnYgIPX369OG2225TOZkQYcBiIWbCIwBY77kfx8CLVA4kwokUqSKs7dzpudXfsWMnjMbQWjS/TapnXKrM8A9vkydPPW1MqhDCP9EvTEN78ADO1A5UPjVV7TgizMiYVBHWdu3yLuIfOrf6vdqkeXp2jx7ah8vpVDmNEEIEl+77XCL/Nh8A8yuv4TbJL3iifqRIFWHN25MaSjP7vVolpmCIiMRpt1FaXKB2HCGECB6rlZhxo1Hcbqy33o79t5ernUiEIbndL8Jafv5uALp06aZyktMpGg1J7TtxKH8bRw7mk9guXe1Iwk8vvDCt1ueKAkajnpoaO0bjyeXEXnzxxWBHEyIsRL+Sg273LpxtkrFMf0HtOCJMSZEqwpbZXEFxcREQmkUqQOKJIvXYof1qRxH1kJLSttbnigJRUUaqqmqIigqtsc9ChBrdlk1EvjEXAEvObNytWqsbSIQtKVJF2PL2oqaktCUmJjTHOiWldgTgWOE+VXOI+rnnngdqfS4Tp4Twk92OaewYFKcT63U3Yht+rdqJRBhr0JjUSy+9lBdffJHNmzcHOo8QfsvP3wWEbi8qQGK7jgAcO7RX3SBCCBEEUW/MRf/zFlytW2N54WW144gw16Ai9cUXX8Rut/Poo48yZMgQXn75ZX755ZdAZxPirHbv9hapobU+6q8ltEsHRaHKXE5lxXG14wghRJPR7sgj6pUcACwzXsLdpo3KiUS4a9Dt/osvvpiLL76YZ555hi1btvDll1/y5z//mdatW3P11Vdzxx13yG4sosl5e1K7dg3dnlS9wUjrpLaUHSnk2KF9RMf2UTuSqCe3283q1V9SUlKExVJNZKQBgG3btjFv3jyV0wkRIpxOYsaNQbHZqLn8CmpuuVXtRKIZaNSY1E2bNrFq1SpWrVqFXq9n0KBBlJSUcN9997FkyZJAZRTiNE6nkz17PDs5hfLtfvBMnvIUqXtJ79FH7TiinnJynmPjxg3o9ToMBiNdunTmiy++YPjw4WpHEyJkRLz9V/Q//oDLFINl1quegdxCNFKDitQZM2bw3//+F7vdztChQ5kxYwYDBgxAo9FQWFjI1VdfHeicQtRSUHAQm62GiIgI2rdPVTvOWSW278iujWtl8lSY+t//VvO3v71HSclh3n//H8ydO5cPPviA9evXqx1NiNCwZw/RL0wHoPKZ6bhC/P9kET4aVKRarVaef/55LrroIrRaba3HEhISWLlyZUDCCVEX73jUzp27otGE9p4U3vVRjx7ap24Q0SB6vZ7q6mr69u3LpEmTAbjqqqt49dVXVU4mRAhwu+GBB1CqqrANGoz1zj+rnUg0Iw0qUp9//vk6HzMajSQnJzc4kBD+2LMn9Gf2eyWldgKgtKgAp8OOVqc/RwsRSq6//iZGj76fr7/+ms6dOzN+/HicTicpKSlqRxNCdcYP3oMvv8QdGYl59usQ4p0GIrw06Lvps88+w3nKXuQ//vgjjz/+eEBCCXEu3p7UUJ405RXTOglDZDQup4Oy4kNqxxH1dO+9DzJ16nPo9XqmTJmG0WjE7Xbz8suyvI5o2TSHC4me+hQAVROfwtW5i8qJRHPToJ7UCRMmcOmll2IymXxf69ChA1988UXAgglxNuGw/JSXoigktUvnUP42jh7aR2L7jmpHEudw9OgRkpJOLp8zaNBgIiIiSElJka1QhQBwuzE9MQ6NuQL69aP6wYfUTiSaoXoVqYWFhYBnSZbDhw8THR3t+/zrr7+mjayJJoKgoqKco0ePAOFRpIJn8tSh/G0yeSpM3HTTcNLTO9G//wD69RtAdvaFgOw0JYSX8V+LMK78HLdej/LOO6DTgVvtVKK5qVeROmTIEBRFQVEUrr325FZniqKQnp7O9OnTAx5QiFPt2ZMPeLZDjY42nePo0ODdeepogew8FQ7eeecfbNmykU2bNvLSS89hNlfQt29f+va9kCuuGML555+vdkQhVKMcO4bpqScAqBr3GNHnnw/HzCqnEs1RvYrUvLw8AM477zzWr18fsvuli+Zt717P+qidw2j8U2JqRwCOFe5XN4jwS7du3enWrTsjRvwBgIMH95Ofv53vvstl7NixWCwWBg0axOzZs1VOKkTwmaY8gaakBEePTKofnUC02oFEs9WgiVOdOnU6bekpIYJl3z5Pb2THjp1VTuK/hLZpAFRVlFFtqVA5jagvo9GIwWBAq9Wh0WhwOp3Y7Xa1YwkRdIaVnxOxZBFujQbz3DfAYFA7kmjGGjRx6vPPPw90DiH8tm+fpye1Y8dOKifxn8EYSWxCGypKjlBSdJDUrplqRxJnUVBwkE2bNrBp00Y2b97I0aNHyMrKom/fC8nJySErK0t+URctjlJ+HNPjYwGoHvUwjr4XIPtKiabUqG1RhVCDtye1U6fw6UkFSGib7ilSC/dLkRribrvtJtq370C/fgN4+OHxXHjhhaSnt6WkxExCggxzEi1T9LSn0RYdxtG5C5VPTFY7jmgBZNVdEVaOHz9OWVkpAGlpHdUNU08JbTsAUHL4gMpJxLl8/PG/+ec/lzBhwkQuvfSyRk/Q27lzJyNGjKBfv37k5OTgdp97GvQPP/zAsGHDGDBgAAsWLDjjMePGjWPGjBm1vrZw4UIGDx5MZmYm99xzD0eOHGlUdiEA9Gu+JvKDdwGwzHkDIiNVTiRaAr+L1DvvvJPq6moA7rjjDu68884zfgjRlLy3+lNS2hIZZv9JJrT1bI8qRWroa9u2XcCey2azMXLkSDIzM1m8eDH5+fksWbLkrG1KS0sZNWoUw4cPZ+HChSxfvpzc3Nxax3zzzTfk5uby6KOP+r72448/8uqrrzJz5ky+/PJLampqyMnJCdi5iBaqspKY8Y8AUH33vdgvuljlQKKl8Pt2/4033ohe79nO8aabbmqyQEKcjbdIDbdb/QAJ7TyTp0oKD+B2u1EUGc3VEqxZswaLxcKkSZOIjIxk/PjxTJs2jREjRtTZZtmyZSQlJTF69GgUReGhhx5i0aJFDBw4EACr1cq0adOYMGECsbGxvnZ79+7l2WefZdCgQYDn/+r58+c37QmKZi/6pRloD+zD2T6VyqenqR1HtCD1KlLP9HchgunkzP7wmTTlFZ+ciqJosFaZqaooIzouXu1IIgjy8vLo3bu3r+c/IyOD/Pz8s7bZsWMHAwcO9P0ik5WVVWu5q3nz5mG1WtHpdKxbt8537C233FLrefbu3Ut6enq9M7fE35+859wSz/1sdOu/J3L+WwBYXnkVYmNrTZaS69ZwLfXa1ed8ZeKUCCvhuPyUl05voFVSCmVHCik5fECK1BbCYrGQmprq+1xRFDQaDeXl5cTFxdXZpkuXk+sAm0wmiouLAc/OfwsWLCArK4vCwkLee+892rZtyxtvvFGrd76srIyFCxfy8ssv1ztzS54c1pLP/TQ1NTDhEXC74c47iftD3XdR5bo1nFy7ukmRKsLKyeWnwq9IBc+41LIjhRw7fIC08/qoHUcEgVarxXDKWpJGoxGr1VpnkXpqG+/xAEuWLCExMZEFCxZgMBi48847GTJkCGvXrmXw4MG+NtOmTaNv375cdtll9c5cUmLGj7ldzYqieIqFlnjudYl6YTpR27fjSmpD2ZTpuM+wq5Rct4ZrqdfOe97+aFCRevz4cRYsWMC4ceM4cOAAL774Im63m8cff7zWb/9CBFJ5+XFKSz0z+9PTO6obpoES2nZg9+Z1lMjOUy1GXFwcu3btqvW1yspK3xj/utp4v9dPPb64uJiBAwf6iliTyUR6ejoFBQW+4xctWsSPP/7I0qVLG5TZ7aZF/dD8tZZ87r+m3bqFyNfmAGB+6RVcreLhLNdFrlvDybWrW4OWoHr88cfZuXMnANOnTycmJoZWrVrx1FNPBTScEL/mvdWfktKWqKgoldM0TEI77wz/gyonEcHSq1cvNm/e7Pu8oKAAm81WZy/qmdps376d5ORkAFJSUqipqfE95nK5KCoqol07z4oEW7Zs4YUXXmD27NkkJiYG+nRES2C3EzN2NIrTSc0112O79nq1E4kWqkE9qT/++COfffYZNTU1bNiwgXXr1lFRUcGVV14Z6HxC+ITzeFQv7/aoJYf3ywz/EPbCC7VnMCsKGI16amrsGI0ne0BffPHFcz5Xv379MJvNLF26lBtuuIH58+czaNAgtFotFosFo9F4Wq/qkCFDmD59Orm5uVx44YW88847vlv5w4YNY8SIEaxcuZLevXvz/vvvY7PZyM7O5tixY4wcOZL777+fzMxMKisrAYiOlt3Vhf8i572GfutmXK1aYX5xltpxRAvWoJ7U1q1bs2nTJj7//HPOO+88IiIi2LFjBwkJCYHOJ4RPOG6HeqpWbdqh0eqw11gxlx1VO46oQ0pKW98HwBdfrMRqtZKQkIjdbuezzz7DZrP59Vw6nY4ZM2YwdepUBg0axMqVK5kwYQIA1113Hf/73/9OaxMfH8/EiRO57777GDx4MLt27WLUqFEAdO7cmTlz5vDWW29x5ZVX8r///Y958+ZhMplYsWIFJSUlzJ07l+zsbN+HEP7S7tpJ9KyXALBMfxH3iR58IdTQoJ7URx99lMcffxy9Xs/cuXPZuHEjY8aM4cknnwx0PiF8wnn5KS+tVkfrNu0pObyfksMHiI1vo3YkcQb33PPAr/7+J557Lofrr7/aty3qmjVrePXVV/1+vqFDh7Jq1Sq2bt1KdnY28fGelR2++uqrOtvcfvvtDB48mPz8fPr374/JdHLXq8suu+yME6Luvvtu7r77br9zCVGLy0XMuDEoNTXYhgyl5g9/VDuRaOEaVKRef/31XHHFFWi1WoxGI8ePH2fp0qV06hS+xYMIfXv3hvfMfq+EdmmeIrXwAJ0yL1Q7jjiHw4cLadu2ba2vpaSk1Jqo5I/k5GTfuFJ/paenN2idUyEaIuKd+eh/yMUVbcI869WWt4CnCDkNXoLq1xNXWrVqRatWrQKRR4gzqqgop7S0BICOHTuqG6aRfj0uVYS+q64axsSJE7jrrjuJjo6jutrMP/7xD4YPH652NCECRnNgP6bnPGOxK5+ehiu1g8qJhGhgkbpq1SpeeuklDh8+7PuadxLI9u3bAxZOCK/9+/cBkJycQlRUeE8COVmkygz/cDBmzDhSUzvw1VdfUVRUTJs2Sdx666386U9/UjuaEIHhdhMz/hGUqkpsF12M9e571U4kBNDAIvXZZ5/lxhtv5JZbbjnrWn9CBMrJW/3hP6Qk0bsMVdFBXC4nGo1W5UTibHQ6HbfcciujRt3vG5MqRHMS8dEHGNasxh0RgWXO66Bp0JxqIQKuQUWqoij84Q9/IC0tLdB5hDij5rD8lFdsQhu0egNOu43yY8W0btNO7UjiHFat+g/r13/HwYMFzJr1MnPmzGHq1Km+CVBChCtN0WGin5kMQOUTT+Hs3FXlREKc1KBfl8aOHcuMGTNq7YgihD8URWnQh3f5qU6dOte7bd2vq8410Gi0JKR4xnuVHD6gTgjht7/+9U3+8pfX6dChA7t370Jzopdp6tSpKicTopHcbkxPjEdTUY69d1+qR45WO5EQtTSoJ3XZsmXs3r2bIUOG0Llz51pLo7z33nsBCyeaFztgqXE0qO2eE7f749unU1qP51CA6rIqqq2O03b002gUXA1K03gJbdM4cjCfksMH6Np7oEophD+WL1/KG2/8lX79evPhhx+i0+kYP348N910k9rRhGgU47J/YfzPp7h1Osxz3wRdg+dSC9EkGvQdKf85i/pSFAVLjYMN+8uwOZz1amutslBacgyAw84YSvOP1au9KToCS6X19K9H6OmWEluv5woU3+SpQpnhH+pMphiKi4uA3r6vHT9+XLYcFWFNKSnBNOkxAKoenYAz83yVEwlxugYVqTfeeKPv7zabDd2J3740MthanIPN4cRqr1//ZeFBTyFnapWAWxdRr/YKoHe4qLG7TutJNerqVywHUkI7meEfLu666x4mTXqM1atXYbPZePfdd/nyyy8ZM2aM2tGEaDDTlIlojh3DcV4PqsY9rnYcIc6oQVWlxWLh6aefZtCgQfTp04edO3dy6aWX8vPPPwc6nxC+Qs7b+xiKXG431XYnVTYnbvep5fDp4k+MSS07cgins2FDIERwDBt2DXPmvElkZCTZ2RdQVVXFSy+9xA033KB2NCEaxPDFf4hY/DFujcZzm99gUDuSEGfUoJ7UyZMnU11dTU5ODmPHjiUmJoY77riD6dOn8/HHHwc6o2jhSos8k4u8hV2osNqd/FJkJq/YQmG5FYfLU5zqNAodWkeSmRJDz5QYtJrTZ2jFtk5Cb4jAbrNSfrSI+JTUYMcX9dCnT1+GDr1UlqASYU+pKMf02FgAqh8cjSNbdr0ToatBRep3333HihUrSElJQaPRoCgK119/PX/5y18CnU+IkOtJdbrcrD9Qxrq9ZVgdpw89cLjc7C2pYm9JFd/kl3BVjzZ0Say9AYGi0RCfkkrxgd2UHD4gRWoIy8/fTWpqKiDFqQh/0dOeQXu4EEenzlROfErtOEKcVYNu93fu3Jl//etfwMmlfTZu3Ei3bt0CGk4IgNIiT5EaCj2pJZU23v3hIKt3lWB1uEiINnB590TuvyidJy7vyhOXd+W+i9K4tEsCJoOWcquDjzcW8tXOo7hOGQYQf6Lo9p6fCE3jx49h+/Zf1I4hRKPpv11D5PsLALDMfh1+tb25EKGoQT2pTz/9NPfffz8ffvghlZWVjBs3jkOHDvHWW28FOp9o4WqqK7EcLwEgoa26RequoxaWbS3G5nQRoddwefckzm8bg+aUBVeTTEaSTEb6pbdize4S1h84zvf7j1Ne7eC6Xim+2//e85G1UkPb1Vdfy+efr+CKKy5TO4oQDVdVRcz4hwGovvMe7BdfonIgIc6t3kVqRUUFVVVVPPPMM9jtdo4ePUpiYiKXX345MTFyO0wElvdWv6lVAsbI6HMc3XS2HCrns21HcAMdWkVyQ1YKJuPZ//kYtBqGZiTRLi6CFT8Xk3fEgvJzEdf3SkFRFBJSZIZ/OLjggn68/fZfeOCBB7juuptITk7wPdavXz8Vkwnhv+iXnkO7by/Odu2pnDpd7ThC+MXvItVutzN9+nTfbf7WrVujKAplZWVoNBp27tzJE0880WRBRcsUCrf6fz5cwafbjgCQ1S6W3/Voc8bJUHXpmRKDXquwZPNhthdbaB1Vwm+6JhLf9uQMf5fTiUarbZL8onFycp4DoKyshFmzctBoTu5i9uWXX6oZTQi/6DasJ3L+PAAss+bijlFnfWgh6svvInXu3Ln873//4y9/+QsXXXQR2hM/UF0uF99//z2TJ0+mVatWPPDAA00WVrQ83lvhat3q33HEwopfigHI7hDHlRlJvq1W66NbkolhPZP59JdivttbRtvYCLolJqEzGHHYajh+9LBMngpRn3yyDEWBxMQYmd0vwk9NDTFjR6O4XFhv/gO2oVepnUgIv/k9ceqzzz7j2WefZfDgwb4CFTwL+F900UU888wzfPLJJ00SUrRcJ3tSgz+zf39pFf/eUoTbDb3axjS4QPXKahdL/7RWAHy6rRizzUnCiR5imTwlhGgKUXNeRrcjD1diEpbnXlI7jhD14neReuTIEfr06VPn41lZWRQWFgYikxA+avWkHq+2s2TLYZxuNxltTFzdM7lRBarXZd0SSYkxYrW7+M/2I75hDDJ5KnQ5HA7effcdbrnlFq67bhi7du3i5ptv5sABec9EaNP+vJWo12YDYH5pFu74hHO0ECK0+H273+l0cvfdd9fqRf01h8OBy1W/7S6FOJua6irfzP5gjkm1OV0s3lSI1e4iJdbItecn+8YhNpZWo3Dt+Sm8k3uA/GNVZJmSASiRntSQ9corL7FzZx633/5HXnoph4iICPr06cMzzzzD3//+d7XjCXFmDgcx48agOBzUXH0ttmtvUDuREPXmd5H64osvNmUOIU7jvQUeHRdPRJQpKK/pdrv59JdijlhsRBu0jOjdFr22QcsJ1ynRZGBQp9Z8s6eU3TbPeZVKT2rIWr36SxYs+ICsrPN4+eWX0Wq13H333Vx77bVqRxOiTpFvvYF+80Zcca2w5LwCAbgTJESw+V2k3njjjU0S4N5772X48OHcdNNN7Ny5k0mTJnHgwAFuvvlmnnjiiYDcYhXhyVukJgSxF3VjQTl5xRY0CtzUuy2xEfomeZ2BnVqz9bCZ8ogkIjg5wx99YAti0XjJycls2rSRrKzzfF87cODAiV2ohAg92vxdRL/8AgCW6S/gSk5ROZEQDaPqT8Rly5bx7bffAmCz2Rg5ciSZmZksXryY/Px8lixZomY8oTLv+qHxQdoO9Yi5hv/uPAbAb7slktoqssleS6fRcHn3RNxRrXFrDTgdDo4fO9xkrycabtSoR3j55Re49dZbsVqt5OTk8MQTTzBx4kS1owlxOpeLmLFjUKxWbJcNoebW29VOJESDqVakHj9+nJycHDp16gTAmjVrsFgsTJo0ibS0NMaPH8+iRYvUiidCQEnRiUlTQehJtTtd/HtrEU6Xmy6JUfQ7MQu/KXVLiia1dRRuUxsASmVR/5A0cOAg3n//Y37zm99wzTXX06NHDz766CMGDx6sdjQhThOx4G3036/DHRWNedarcptfhLUGbYsaCDk5OQwdOpSamhoA8vLy6N27N5GRnt6rjIwM8vPz6/28ofTv0ZsllDLVV6DOQVHA+xT+PpW3aEtom+Z3mzO9ru9Pd93HfL3rGMcqPeNQr8lMPm2r06agKAqXdE5gUWwymvICDhfs5/x+F6NQ+3qH+/dRuOcH6NAhlT59RlFaaiY+XtZJFaFJc/AA0c89C4Dl6WdxpaWrG0iIRlKlSM3NzWXdunWsWLGC557z7OZisVhqjfFSFAWNRkN5eTlxcXF+P3coLrQdipnqKxDnUF1WhSk6Ar3j3KtA1FRXYS47CkBaly5EmiIa9drR0ae3jzbq0Ou1HK12suFgOQC/v7ADyfHBmaQFcH60kS/adKDy4Aby9+7hxugIIqMMJLSOOu3YcP8+Cqf8Q4YM8Ws8vOw4JUKG203MhEfQVFqwD7gI65/vVzuREI0W9CK1pqaGqVOn8uyzz2IynSwGtFotBoOh1rFGoxGr1VqvIrWkxIy7jh6zYFMUzw/mUMpUX4E6B0VRqLY6sFRaqbGfu0gt2rcbgKjY1jgxYLFYG/i6ngK1stJ6Wn6NU0eV1cjCHw7gxrNgf9tofYNfq6HOz+jK9xug7PABDpdaqE4xUeJy4T4RONy/j8Ix/6RJz/j+npu7jq+++oIHHrifVq0SMZvL+Nvf/sZvfvMbFRMKUZtx4YcYvv4Kt9GIec4boJFJmCL8Bb1InTdvHueffz6XXXZZra/HxcWxa9euWl+rrKxEr6/f7Gq3m5D7QRiKmeorEOfgPuXPszn2q0X8G/WyJxq73Wd+3SUbD3HEYiNKr2VI96TGvVYD9ejWje8BLEdYu/soV/ZMOeP1Dvfvo3DK36fPBb6/T5v2NLNnv07//n1826L27duXBx98kMmTJ6uYUggPpbgY0zOTAKh8fDLOrt1UTiREYAS9SF2+fDllZWVceOGFAFitVj7//HPat2+Pw+HwHVdQUIDNZqtXL6poPoKx/NRRSw0LfywAYGhGIlGGM29U0dTiEtqg1Rtx2mvYmLeH6mE9wajacHFxCkVROHy4EOjj+1phYWGt/6+EUFPMkxPQHD+OPasP1Q89rHYcIQIm6D8JP/zww1r/uc+cOZPevXtz4403Mnz4cJYuXcoNN9zA/PnzGTRoUJ07XInmramXn3K73SzZXITD5aZrUjQ9U9QbL6loNCSkpHLkYD62ssOs3nGUP10ga3CGij//+X6mTHmS//xnOa1bJ1BRcZxvv/2WJ598Uu1oQmBYvhTjp8tw63SY574JOvkFVzQfQf9uTkmpvahwVFQUrVu3Jj4+nhkzZjBhwgRmzpyJ0+nkgw8+CHY8ESJKmrgndfOhCvaWVGHUabgmM1n1TSMS2nbgyMF8NOZi/r3lMLdnt1c1jzjp2mtvoEePnmzYsI6CgkK6d+/OqFGjyMzMVDuaaOGU0hJiJk4AoOqRcTjP76VyIiECS/VfuV566SXf34cOHcqqVavYunUr2dnZxMfHq5hMqMVWU4259AgA8U1QpFpqHHy1y7No/58GpNE6So/Vj8lcTcnbY6y1FLO3pIqNBeX0TZWhLqGiW7fuXHTRBb4xqUKEAtPTk9AcO4oj4zyqxj2hdhwhAi7kpv8lJyczdOhQKVBbsNIizzjRqJhWRJpiA/78q/KOUuNwkdoqgmt6tQ348zeEt8c4stqz7NbHGwvVjCN+Ze3ab6ioKFc7hhC1GP67kohP/olbUTyz+Y1GtSMJEXAhV6QK8etF/ANt5xELO45YUBS4qXdbtJrQWGHee67240XgcrJ611GOmGtUTiUA5syZyc6dO9SOIYSPYq7A9Pg4AKofeAjHhf1VTiRE05AiVYQc73aogb7VX+NwsirP01M5ML017eIat0FAIMXGt0GnN+ByOugebcPphs+2FasdSwA33/wHPv74I5xOp9pRhAAgesZUtIcKcKZ3pPLJKWrHEaLJqD4mVYhTlfpm9ge2SP16VwnmGgetI/Vc3Dm0hpMoGg3xKZ7JUz2jK9lZHcmn24q5q38H1Sd1tXRxca0oLy/nxhtv5NprbyQpqbXvsRtuuEG9YKJF0n/3LZF//xsA5tmvQ3S0yomEaDpSpIqQ4+1JDeTt/oLj1fxU4BlX+LuebdBrQ+8mgneGf5y9BKOuDftKq/mlyEyvdoEflyv899lny9Hr9URFRfDVV1+g03mWxVMURYpUEVxVVZjGjQGg+o67sV8iu56J5k2KVBFS7DVWKko8M/sDtfyUw+nis22e58xqF0vH+KiAPG+geYc3FB3cx5CBl/D5tiOs+KVYilSVvf76X1EUSEyMkdn9QlXRM19At3cPzrbtqJw6Q+04QjQ5KVJFSPHuNBUVExewmf3/23WUY5U2ogxahnRPDMhzNgVvz/GB/XsZc28Kn287wqq8o4z/bReVk7VcxcVF7Nu3F4ulgpiYSBTFwIUX9qZNmzZqRxMtjG7jBiL/8gYAlpfn4I6VJepE8ydFqggp3kX8AzVp6pjFxtc7PJOlrshIIlIfujuYec/50MED9Glroo3JwBGLjW/yS7g1RX4gBVNRURHTp09h69bNREVFYTKZUBSFigozVms1/fv3Z+bMmSQnJ6sdVbQENhsxY0ejuFxYb7oF25XD1E4kRFCE3sA80aKVBHD5KbfbzWfbi3G63HRJjKJHsqnRz9mU4hKS0ekN2O02iosKGZ7pKYBW/CKz/IPtxRenER8fz6JFy1m58n8sWfIp//vf//jvf//HqlWriIqKYuLEiWrHFC1E1KuvoNu+DVdiIpbnZ6odR4igkSJVhJTSAPakbjpUQcFxKwatht+d1ybkZ8krGg0JJ1Y02LdvL8N6eIrUdfvKKK+yqxmtxdm6dQujR48lOTnltMc6dOjA5MmT+emnn/x+vp07dzJixAj69etHTk4Obrf7nG1++OEHhg0bxoABA1iwYMEZjxk3bhwzZsyodzsRPrTbtxE1dxYAlhdexp2QoHIiIYJHilQRUrxFamN7Us1WB6tPbH16Rc9k4iL1jc4WDIm+InUPnRKi6JoYjdPlZuW2IpWTtSwdOnTg889X1Pn4okWLSE9P9+u5bDYbI0eOJDMzk8WLF5Ofn8+SJUvO2qa0tJRRo0YxfPhwFi5cyPLly8nNza11zDfffENubi6PPvpovdqJMOJwEDP2IRS7nZrfDafm+pvUTiREUMmYVBEy7LYayks8t7Yb25P6xY4j1DhctIs1clGXBKoqw2P3psR2nuJ83749AAzNSGT3sUpWbDnMkI6tVEzWsowf/ySTJk3g888/pWvXrkRHm4iI0HPsWAl79uRjtVp56623/HquNWvWYLFYmDRpEpGRkYwfP55p06YxYsSIOtssW7aMpKQkRo8ejaIoPPTQQyxatIiBAwcCYLVamTZtGhMmTCA2NtbvdiK8RP51HvqNP+GKjcMyczaE+N0gIQJNilQRMsqKC8DtJtIUS1RMwycKebY+rUSjwNU9k9GE0X/siSd6kPfuPVGkdk/iL2v3s3b3MY5X24mLCI8e4XDXu3cfPv7436xdu4b8/N1YLGYMBj2dOnXhxhtv4LLLLsNk8m+Mc15eHr179yYyMhKAjIwM8vPzz9pmx44dDBw40DdEJSsri9mzZ/senzdvHlarFZ1Ox7p163zHnqudv8Lon0zAeM85VM5dk7+b6JznAKic9jzutm0JkWi1hNp1Cyct9drV53ylSBUho+SwdzvUht/qt9qdrMzzrIk6IL01bWKMAckWLN6e1AMH9uN0OkmPj6J7m2h2Hqnk613HuL5XW5UTthwmk4mrrroaoFHrpFosFlJTU32fK4qCRqOhvLycuLgz/zJmsVjo0uXk0mMmk4niYs9dhsLCQhYsWEBWVhaFhYW89957tG3bljfeeOOs7eqjJa8FGxLn7nLBiLFgtcLQocQ8+hAxIV7JhMR1C1Ny7eomRaoIGSdn9jf8Vv/Xu0uw1DhDcutTf8QltMFgMGCz2SgsPESHDmlckZHEziOVfLHjqBSpYUir1WIwGGp9zWg0YrVa6yxST23jPR5gyZIlJCYmsmDBAgwGA3feeSdDhgxh7dq1Z21XHyUlZvyY29WsKIqnWAiFc49Y8DamNWtwR0VR9tJsXCUWdQOdRShdt3DTUq+d97z9IUWqCBmlJ3pSG7rTVMHxajae2Pp0WIhufXouGo2W1LSO7Nm9k3379tChQxpDuyfx5jf7+PHAccqqbLSOMpz7iUTIiIuLY9euXbW+VllZiV5f99CNuLg4SktLz3h8cXExAwcO9BWjJpOJ9PR0CgoKztquPtxuWtQPzV9T+9w1BQeJmvYMAJVPTcWZ1hHC4L1Q+7qFM7l2dQu/n+Ki2fIt5N+AnlSHq/bWp+khuvWpP9I6dgY8y1ABdGgdyfntY3G6YfXuEjWjiQbo1asXmzdv9n1eUFCAzWarsxf1TG22b9/u2zggJSWFmpqTEwFdLhdFRUW0a9furO1EGHC7MT0+Fk2lBXu/AVTf+6DaiYRQlRSpIiT8emZ/Q5afWre3jJIw2PrUHx3SOgInJ08B/C7Ts17nGilSw06/fv0wm80sXboUgPnz5zNo0CC0Wi0WiwW7/fQ1cIcMGcKGDRvIzc3F4XDwzjvvMHjwYACGDRvG6tWrWblyJUVFRbzyyivYbDays7PP2k6EPuMn/8T45Re4DQbMc98EjfyIFi2b3O4XIaGs+BC43URExxBpqt/M/mMWG+v2lgGhv/WpPzqc6Endv3+v72tX9Exh1qqdrD9QRpXNSZQhvM+xJdHpdMyYMYMJEyYwc+ZMnE4nH3zwAQDXXXcdkydPZujQobXaxMfHM3HiRO677z5MJhNRUVE8//zzAHTu3Jk5c+Ywd+5c9uzZQ1paGvPmzfOtNlBXOxHalCNHMD39JABVjz2Js1t3lRMJoT4pUkVIKC06MR61bVq9doZyu918vr0Ypzs8tj71R1p6RwD27/fM8NfptHRPNpHaKoKC41Zy95UypHuSuiFFvQwdOpRVq1axdetWsrOziY/3TOr76quv6mxz++23M3jwYPLz8+nfv3+tJa8uu+wyLrvssnq3E6ErZtJjaMrKsJ+fRdXoR8/dQIgWQIpUERK8M/vru4j/xoLyE1ufKlwVBluf+qNNSjsMBiM2Ww2FhYdIS/MU7r/pksA/Nhzi690lUqSGoeTk5HqPD01PT/d7Z6tAtBPqMKxYhnH5UtxaLZZX34QGTHYTojmSAS8iJHgnTdVnZr/Z6uDrE2M0L+2aGDZbn56LVqv1FRjeyVMAl3XzjLVdu7cUh9OlSjYhRGApZaXETBwPQNXD43D06q1yIiFChxSpIiT4lp+qx6SpVd6tT+MiuKBDw3eoCkUdfTP8T06eymoXS6tIPRVWB5sOVagVTQgRQKZnJqM5egRHt+5UjX9C7ThChBQpUoXqHLYayo95Zvb7u/zUjiMWdp7Y+nRYjzZhtfWpPzp1qr0MFYBWo3DJiQ0Kvt59TJVcQojA0X/1XyIWfohbUTyz+SMi1I4kREiRIlWorvTIIdxuFxFRMUTFtDrn8Va7k1XbPWuiDuwYfluf+uNMPakAv+maAMCa/BLcsvqzEGFLsZiJecwzQar6/pE4+g1QOZEQoUeKVKG60sMnF/H3Z+LT17tLsNictI7Sc3Gn8Nv61B/enlTvDH+vAemtMWgVDlfUsLe0Sq14QohGin7uWbQFB3GmpVM56Rm14wgRkqRIFaorqcd2qAfLfrX1aY826MJw61N/tG17cob/4cOFvq9H6LVkd2gFwHcn1oYVQoQXfe53RL7zfwCYX3kNoqNVTiREaGqeP+FFWCn1cztUh8vF59s9Y1d7h/nWp+fy6xn+v955CvD1Hq/dW3paOyFEiKuuxjR2tOevt9+J/Te/VTmQEKFLilShOu8aqeea2e/Z+tROtEHLb8N861N/pKd3AmpPnoKTReqmgnIsNY6g5xJCNFz0yy+i25OPM6Utlc8+p3YcIUKaFKlCVQ67jfJjRcDZb/cfs9Tw3Ymew+aw9ak/vONST+1J7dA6kg6tInC43Kw/cFyFZEKIhtBt+onIea8BYJk5B3dcK3UDCRHipEgVqior9szsN0ZGExXb+ozHuN1uPtt2BJcbuiZGc14z2PrUHydn+O897bFBJ3pTv5Nb/kKEB5uNmEdHo7hcWG8cge13V6udSIiQJ0WqUJVv0lS79Dpn9m8sKOdQ+YmtT3skNYutT/3RsaPndv/+/ftqzfAHuLjzySJVlqISIvRFvT4H3fZfcCUkYHn+ZbXjCBEWpEgVqjrXzH6z1cHqXZ6tT3/TNZHYiOax9ak/2rVrj8FgwGaroaCgoNZj2amtMOo0HLHY2H2sUqWEQgh/aPO2EzV7JgCW52fiTmz+Y+qFCAQpUoWqSs6yHarb7WZl3hFsTs/Wp9nNbOvTc9FqtaSleWb45+fn13rMqNPQL60VIEtRCRHSnE5ixo1GsdupufJ31Nx4s9qJhAgbUqQKVZ283X96kbrjiIVdR5vv1qf+8I5L3b1792mPDZKlqIQIeZHz30K/4UdcMbFYXp4LLfD/MSEaSopUoRq7rYbyEs+6p6f2pFrtTlblHQWa79an/vCOSz1zkeqZaLblUDlmqyxFJUSo0ezJJ/qlGQBUPvscrrbtVE4kRHiRIlWoprToILjdRJpiiYppVeux1buOUWlzEt+Mtz71h3cZqjMVqe3jIukYH4nTDd/vl1v+QoQUl4uYCY+gVFdju+Q3WP90l9qJhAg7UqQK1dQ1HvVAWTWbDlUAzXvrU394b/fv2bPntBn+ILf8hQhVER+8i2HtN7ijojxbn8ptfiHqreX+9BeqO1OR6nC5+Hzbia1P28eS1oy3PvWHd4Z/TU0NRUWHT3vcW6Tm7iuTpaiECBGawkNEPzsFgMpJT+M6MWxHCFE/UqQK1XiL1PhfFam5e8sorTqx9Wk3Wabl1zP8T915CqBP+ziMOg3HKm3sKakKdjwhxKncbkyPj0VjMWO/sD/V941UO5EQYUuKVKGaksMHAUg8UaSWVtn4bp9nbOXQFrL1qT+8k6fOtPOUUaehT/tYQMalChEKjIs/xvjFStwGA+Y5b4BW/h8ToqGkSBWqsFmrMJceATy3+91uN6vyjuJ0uemUEEWPFrL1qT+8k6fO1JMKMCDdM8v/h/3HgxVJCHEGytGjmKZMBKBq/BM4M85TOZEQ4U2KVKGKkiJPL2pUbGsiomPYXmxhb0kVWo3Clee1nK1P/eGdPHWmnlSA/ieK1J8KjmN3uoKWSwhRm2ny42hKS3Fk9qLq4XFqxxEi7EmRKlRRUugZj5rYNg2r3cl/d3jWRB3UsTXxUQY1o4Uc7+3+/fv34nKdXoR2S4qmdaSearuLrYcrgh1PCAEYPltBxL+X4NZqMb/6JuhbzhbOQjQVKVKFKn49aWpNfolvTdSBJxaoFyf9eob/4cOFpz2uURT6p7cC4Hu55S9E0CnHyzA94ek5rR79KI6sPuoGEqKZkCJVqMJbpOpateWng+UAXHVeG3Qa+ZY8lU6no1OnuidPwclb/j/I5Ckhgi762SlojxTj6NqNyseeVDuOEM2GVARCFd4idXt1NG6gZ0oMHRNa9pqoZ9O1a1fg3JOnthWZqbDag5ZLiJZO//VXRH74Pm5FwTznTYiIUDuSEM2GFKki6KxVFirLPTskHdPGY9RpuLy7rIl6Nl26dAFg//4zF6nJMUY6xkficsOPJ3qmhRBNzGIhZsIjAFTf+wCOAQNVDiRE8yJFqgi60hProxLZCvSRXNolAZNRp2qmUHeyJ/XMt/sB+qfJLX8hgin6hWloDx7A2SGNyslT1Y4jRLMjRaoIumOH9wPgjEkmMdpAdmqcyolCn7dIrWuGP5wclyqL+gvR9HTf5xL5t/kAmGe9CiZZ21mIQJMiVQTdoQOe3kBXTApXZCSh0ciaqOfSoUMH9Ho9NTU1FBUdPuMxF3SIQ6tAwXErh8qrg5xQiBbEaiVm3GgUt5vq2/6E/beXq51IiGZJilQRVG6323fLuk37NJks5SedTkdaWjpQ9+Qpk1HH+W29W6QeD1Y0IVqc6Fdy0O3ehbNNMpXTnlc7jhDNlhSpIqh2HqmkpvQQABdl9VA5TXg5ufPUmYtU+PUWqXLLX4imoNuyicg35gJgmTkHdytZ21mIpiJFqggau9PF5xvzUWosgELHE3vSC/+cXCu17iLVu6j/+gPHcbrcwYglRMtht2MaOwbF6cR6/U3Yrr5G7URCNGtSpIqgWbG1iPJiz8z+uMQUDMZIlROFl5M9qXXP8M9sG0u0QUuF1UHeEUuwognRIkS9MRf9z1twxcdjeeFlteMI0exJkSqCwlLj4B/rD6JUeCb9JLXvqG6gMNTpRM/z/v376pzhr9MoXNihFSC3/IUIJO2OPKJeyQHA8lwO7qQklRMJ0fxJkSqC4r31B6mwOoiqKgYgUYrUemvXrj16vR6r1VrnDH+QpaiECDink5ixo1FsNmqGXknNiN+rnUiIFkGKVNHkjllq+MePBQBEV3uL1HQ1I4UlnU5Hhw6e63b2yVOtANh8qIJquzMY0YRo1iLf/gv6DetxmWKwvDwXFFk2T4hgkCJVNLn/W3eAGoeLHslRWI56ZvYntuuobqgw5b3lX9cyVABprSNJjjHicLnZdEi2SBWiMTT79hL94gwAKqfOwNU+VeVEQrQcUqSKJrWvtIp/b/Xcmr6+kx6nw47eEEFcQrLKycJTx47eGf51T55SFIX+aa0AWC/rpQrRcG43MRMeRamqwnbxJVjvuFvtREK0KFKkiiY179t9ON1waZcE9JYiABLapaNo5FuvIfxZKxWg34lb/j8cON7EiYRoviL+8R6Gb77GHRmJefbrIP9vCRFU8i9ONJltRWZW7zqGRoHRl3Ri397dgEyaagzv7f59+/bidNY93rRfmmfy1I4jFo5X2YOSTdRt586djBgxgn79+pGTk4Pbfe41bH/44QeGDRvGgAEDWLBgQa3HRo4cSUZGhu/j7rvv9j329ttvM2jQILKzs3n44YcpK5MJdA2hOVxI9NSnAKh88mlcsq6zEEEnRapoMv+3bj8Av+vRhi6J0ezf4ylSk9rJpKmGat8+FaPRSE1NDYcOFdR5XGK0gS6Jni1n1x88HqR04kxsNhsjR44kMzOTxYsXk5+fz5IlS87aprS0lFGjRjF8+HAWLlzI8uXLyc3N9T3+888/s3z5ctavX8/69euZN28eAOvXr2fp0qV88MEH/Otf/6KmpoacnJwmPb9mye3G9MQ4NOYK7NkXUP3AKLUTCdEiSZEqmsQvhyv4dk8pWgXuHXhiRvqefEB6UhtDq9XSuXNXAHbv3nnWY/unyRapoWDNmjVYLBYmTZpEWloa48ePZ9GiRWdts2zZMpKSkhg9ejQdO3bkoYce8rUpKvIMm+nevTuxsbHExsYSFeX5hWTLli1ceumldO7cmfT0dIYPH86+ffua9PyaI+O/FmFc+TluvR7z3Hmg1aodSYgWSYpU0ST+b90BAH7XM5m01pGYzWaOHjk5JlU0XNeu3QDYvXvXWY/79RapQj15eXn07t2byEjPDmsZGRnk5+eftc2OHTsYOHAgyomljrKysti2bRvgKUSdTieXXnopffr0Ydy4cZSXe1Zx6NatG1988QUHDhygpKSERYsWMWjQoHpnVpSW+QGgKTmG6aknAKga/ziuHj1UzxXqHy35e0auXcPP2x+6ev/vJcQ5/Hy4grV7T/SiDkgDYM+JW/2x8UlERJnUjBf2unTxr0jtmxqHVqNwqNxKwfFqUlvJNrRqsFgspKaeXLZIURQ0Gg3l5eXExcXV2aZLly6+z00mE8XFnjWG9+3bR2ZmJhMnTkSj0TBp0iRmz57NtGnTuPTSS0lPT+eKK64AoFevXjzwwAP1zpyQEFPvNs1F/LSnoKQEevUievpUog0GtSOFhZb8PdNYcu3qJkWqCDjvWNRhPZPp0NpTGOXnewoq2Q618bp16w6cvKZ1iTboOD8lhs2FFaw/cFyKVJVotVoMpxQ6RqMRq9VaZ5F6ahvv8QAPPPBArcLzscce45FHHmHatGl89tlnFBYW8vnnnxMfH09OTg6PP/44r7/+er0yl5SY8WNuV7OiKJDw3dfw0Ue4NRrKZ7+Oo6IGqFE7WkhTFE+R1RK/ZxqrpV4773n7Q4pUEVBbCyv4bm/ZibGoab6v5+d7elLbpHZUKVnz0aWLZ0zq0aNHOH78OK1atarz2P7prdhcWMEP+49zY1bbICUUvxYXF8euXbV/oaisrESv15+1TWlpqV/Hx8bGUlZWhs1m49NPP+W2226jc2fPTPSnnnqKCy64gIqKCmJjY/3O7HbTon5oAijlx2HkSACqH3oEe+9saGHXoDFa4vdMoMi1q5uMSRUB5e1Fvbpncq2eO1+R2r6TKrmak6ioaNq1aw9Afr5/k6d+PHgcl/wvqIpevXqxefNm3+cFBQXYbLY6e1HP1Gb79u0kJ3s2wHjkkUfYtGmT77GtW7eSlJSEwWDA6XRy7Ngx32NHjhwBOOtyZcIj+tmnobAQZ+cuVD4+Se04QgikSBUBtL3YzLp9nl7Ue37Vi+pyuXxjUpOkJzUgunb13PI/17jU89vGEKXXcrzazq6jlcGIJk7Rr18/zGYzS5cuBWD+/PkMGjQIrVaLxWLBbj99HdshQ4awYcMGcnNzcTgcvPPOOwwePBjwzOp/8cUX2bx5M6tXr+bVV1/ltttuAyA7O5uPP/6Yjz76iH/961+MHz+evn370rp166CdbzjSr/maiA/eBcA8902IlKExQoQCud0vAua9Hw4CcOV5bWr1oh4+XEh1dTV6vYH4Nu2wudRK2Hx07dqNNWtWn3MZKp1WQ9/UONbuLeWH/WVktJFJa8Gm0+mYMWMGEyZMYObMmTidTj744AMArrvuOiZPnszQoUNrtYmPj2fixIncd999mEwmoqKieP755wF48MEHKSws5M9//jMJCQnceuutPPjggwDcddddHDlyhHnz5lFWVkbfvn197UQdKiuJGf+I5++jR+O4aJDc5hciREiRKgLiQFk1X+703Ga8s1+HWo95e1HTOnZCo9WCS6rUxvJ3hj94xqWu3VvKDweOc8cp740IjqFDh7Jq1Sq2bt1KdnY28fHxAHz11Vd1trn99tsZPHgw+fn59O/fH5PJ8wuGXq/nhRde4IUXXjitjdFoZMqUKUyZMqVpTqQZin5xOtoD+3CmdkD74osyT0qIECJFqgiI99cfxA0M7hxP16ToWo95x6Omn1iEXjSed4b//v37sNvtZ52E4x2XurGgHJvDhUEno3zUkJyc7BtX6q/09HTS02Vd4aaiW/89kf/3FwAsr7xKXEwM1JhVTiWE8JKfVqLRjlpq+HSbZw3Hu/uf3lPnLVI7dupy2mOiYZKTUzCZYnA4HOzbt/esx3ZJjCI+Sk+Nw8XWwxVBSihEiKupIWbcGBS3G+sf/oh9yNBztxFCBJUUqaLRPtpwCLvTTZ/2sfRuf/qMZe8t6XQpUgNGURTfUlTnGpeqKAr90loB8IPsPiUEAFGzc9Dt3IErqQ2W6acPnRBCqE+KVNEoFVY7izcfBuCuM/SiWiwWDh3yTKjq3DUjqNmaO+8M/3Mt6g8nb/mv31/WpJmECAfarVuIem0OAOac2bhbx6ucSAhxJlKkikZZvPkwVXYnXRKjuLjT6f/Re3v52rRJJvYs60KK+uva1TN5ateus/ekgmfyFMAvRWYsNY6mjCVEaLPbiRk7GsXppObaG7Bdc53aiYQQdZAiVTSYzeHinz8dAjwz+hVFOe0YbwHVvbv0ogaat0jNz9+F+xwL9afERpDWOhKXGzYcPB6EdEKEpsh5r6HfuhlX69aYX5yldhwhxFlIkSoabGXeEUqr7LQxGbgyI+mMx+zatQOAbt2kSA20jh07o9Vqqaio4OjRI+c83jsudb2MSxUtlHbXTqJnvQSAZcZLuNu0UTmREOJspEgVDeJ2u/noRC/q7/u2R6c987eSFKlNx2g0kpbmWZ7oXJOnAPp7J0/tP96EqYQIUS6X5zZ/TQ22IUOpueVWtRMJIc5BilTRID8ePM6uo5VE6DTcmJVyxmNqamp8yyPJ7f6mUZ9F/S/o0AoF2FtaxRGzrFguWpaId+ajX/89rmgT5lmvwhmGJwkhQosUqaJBPtzg6UW9JjOZ2IgzLyS/d28+TqeTuLg42rSp3yLmwj/eRf39meEfF6nnvGTPrkVyy1+0JJoD+zE9Nw2Aymem40qVndeECAdSpIp6219axbd7SgG4Nbt9ncd5J01165ZxxklVovG8y1Dt3Hnu2/0A/dNPLEV1QJaiEi2E203M+EdQqiqxXXQx1rvuUTuREMJPUqSKevPO6B/cOZ70+Kg6jzs5HrV7UHK1RN5hFIcOHcRisZzz+P6/WtT/XCsCCNEcRHz0AYY1q3FHRGCZ8zpo5MeeEOFC/rWKeimvtrPiF88WqH+8oO5eVJBJU8EQF9eKlJS2AOzcmXfO47PaxWLQKhy12NhXWt3U8YRQlaboMNHPTAagcuIUnJ27qpxICFEfUqSKelm6tQirw0W3pGgu7NCqzuOcTqdvMo8UqU2re/fzANix49xFaoRe69u69gfZfUo0Z243pifGo6kox943m+oHH1I7kRCinqRIFX5zutws2lQIeMainm2c6cGD+6mpqSEiIoJUmaTQpDIyPEWqPz2pUPuWvxDNlXHZvzD+51Pcej3mOW+CTqd2JCFEPUmRKvz23d5Sisw1xEXo6ly838s7kadLl25otdpgxGuxvEXqjh3b/TreO3lqw8HjOFwyLlU0P0pJCaZJjwFQ9egEnD0zVU4khGgIKVKF3xZvPgzANZkpROjPXnju2LENOFlAiabTvXsPAAoK/Js8ldHGRGyEjkqbk+1F5qaOJ0TQmaZMRHPsGI4ePaka+5jacYQQDSRFqvDLoePVfLfXs+zUTb3bnvN4b6/eeef1bNJcAlq1akVysmdDBe9ktbPRahQuODGe+AdZiko0M4Yv/kPE4o9xazSY574JBoPakYQQDaRKkfrf//6Xyy+/nJ49e3LLLbeQn58PeG4Rjxgxgn79+pGTkyNL5ISQJVuKcAMD0luR1jryrMc6HA527vQUS+ed1yMI6UR9Jk+BbJEqmielohzTY2MBqB45BkffC9QNJIRolKAXqQcOHGDy5MlMmDCBNWvW0K5dO5566ilsNhsjR44kMzOTxYsXk5+fz5IlS4IdT5xBjcPJv7cWAXBz73bnPP7Agf1YrVYiI6Po0CG9qeMJfj15qn7jUrcUVlBtdzZZLiGCKXraM2gPF+Lo1JnKJyarHUcI0UhBL1Lz8/MZN24cV199NYmJidx22238/PPPrFmzBovFwqRJk0hLS2P8+PEsWrSo3s+vKKH1EYqZ6vvxn5+LOF5tJznGwCVdE855fF6eZzxq9+4Z6HTak49536Ngfvz6PTjlsVrfM8HOVceH7/qcck3P9X3k7bHesSPPr/c0rXUEKTFGHC43mw+Vy7+DepyDCE36b9cQ+f4CACxz34SoujcaEUKEh6CvyfHb3/621ud79+4lPT2dvLw8evfuTWSk51ZyRkaGbxhAfSQkxAQkZyCFYqb6eP/jrQD8cUBHUtrEnvP4/ft3A5Cd3YfExJPnXl1WhSk6Ar3D1TRBzyI6OuL0rxl16PVaoqMi0BmCn+lMjDoNkVEGElqf/gP2bN9HF110IQAHDx4gIkLBZDKd87UuzUji4x8L2Hq0imv7NX2Pd7j/OwCIjw//c2iWqqqIGTcGgOq778V+0cUqBxJCBIKqC8fZbDbeeecd7r77bg4ePEhqaqrvMUVR0Gg0lJeXExcX5/dzlpSYCZWhrIri+cEcSpnqa/exSn7cX4ZWgSu7tubYsXPPBt+0aTMAaWldfMcrikK11YGl0kqNPXgFoaJ4CtTKSutp74HGqcNuj6SyyorVFhpFql2vobrKRonL5RuT7d/3kZ42bZI5cqSYdes20Ldv9jlfKyvZxMfA13nFPNA/9ZzHN1Rz+HfgPYfSUrMUqiEo+qXn0O7fh7N9KpVPT1M7jhAiQFSd3T937lyioqL4/e9/j1arxXDKLEyj0YjVaq3Xc7rdofURipnq87Foo2fx/t90TSQx2njO4202u2+nqfPO61n7ce97FMyPX78HpzxW63sm2Lnq+PBdn1Ouqz/fRxkZnlv+27dv8+u99e4YtvNIJaWVNvl34Oc5iNCi27CeyPnzALDMmos75tx3e4QQ4UG1InXt2rX885//5JVXXkGv1xMXF0dpaWmtYyorK9Hr9SolFJU2B59tOwLALX3PvewUwJ49u7Hb7cTExNKuXfumjCdO0fPEguV5eb/4dXxCtIGuidGAzPIXYaqmhpixo1FcLqy33Irt8ivVTiSECCBVitSDBw/y2GOP8eyzz9K1a1cAevXqxebNm33HFBQUYLPZ6nWrXwTWf7YfocrupHNStK/X7Vzy8jyzyzMyenC2bVNF4PXo4SlSt23zr0gFuKhjawDW7Ss9x5FChJ6oOS+j25GHKzEJy4wX1Y4jhAiwoBepVquVBx98kKFDh3L55ZdTWVlJZWUlF154IWazmaVLlwIwf/58Bg0aJFtqqsTtdrNok2eHqdsHpPtdcHpn9sv6qMF33nmeXwyKi4soKTnmV5uLOnmL1DJcci9bhBHtz1uJem02AOacV3DHJ6icSAgRaEEvUr/99lvy8/P5+OOPyc7O9n0UFxczY8YMpk6dyqBBg1i5ciUTJkwIdjxxwpbCCnYfq8So03Bztv+Tak7uNCVFarBFRUXTsWNnwP/e1N7t4ojUayitsrPrSGVTxhMicBwOYsaNQXE4qBl+HbZrb1A7kRCiCQR9dv/QoUPZsePMWzempqayatUqtm7dSnZ2NvHx8UFOJ7wWbfb0ol51XhJxUXqOVZ17Alt1dTV79+4BZDtUtfTsmcnevfls3/4Ll1zym3Meb9BpuLBDK77ZU8p3+0rJSD730lVCqC1y3uvoN2/EFdcK80uvqB1HCNFEVJ3dfybJyckMHTpUClQVlVXZ+HLnUQBu7nPuHaa8duzYjtPpJCmpDW3aJDdVPHEWPXueD8C2bT/73eaiTp5/a+v2lTVJJiECSZu/i+iXXwDAMuNF3Mnyf40QzVXIFalCfct/LsbudNMj2UTPFP/XhPz5Z8+i/95CSQTfyRn+23G5/Fv71Tt5akthBZYaR5NlE6LRXC5ixo5BqanB9tvLqfnDH9VOJIRoQlKkilpcbjeLt3hu9d/c2/9eVIBt2zxFamZmr4DnEv5JT+9EREQEVVWVHDiwz682qa0iSWsdidPlZv2B402aT4jGiFjwNvrv1+GKNmGe9arsUytEMydFqqhl3b4yCsutxBh1XHlekt/t3G43v/ziucUsRap6dDqdb1F/WYpKNCeagweIfu5ZACqnPIurQ5q6gYQQTU6KVFHL4k2eHaauyUwmQu//8l+HDxdSVlaKTqeje/eMpoon/OC95d+gcal7y3DLUlQi1LjdxEx4BE2lBdvAQVj/fJ/aiYQQQSBFqvApqrCydq+nJ+2m3v7tMOX1yy+eW/3dumVgNBoDnk34r0cPz5jg7dv970m9IDUOg1ahyFzDvtLqpoomRIMYF36I4euvcEdEYJnzOmjkR5cQLYH8Sxc+/9pyGJcbLkxrRcf4qHq19RapcqtffZmZniJ1z558qqqq/GoTodeSndoKkFv+IrRoioswPT0JgMrHJ+Ps0k3lREKIYJEiVQBgd7pYurUIgJvr2YsKUqSGkqSkNqSktMXpdLJ9e31u+Z8Yl7pXlqISocP05GNoyo9j792X6lFj1I4jhAgiKVIFAKt3HaO0yk5itIHfdKnf9oJWq5Xdu3cBcP75UqSGgvPPzwJgy5bNfre5qKNnXOpPBceptjubJJcQ9WFYvhTjp8tw63SY57wBuqDvPyOEUJEUqQKAxSd2mLqhVwo6bf2+LbyL+CckJMoi/iGiV6/eAGzdusXvNh3jI2kba8TmdPPD/uNNlEwI/yilJcRM9GyNXfXIeJzyC7AQLY4UqYI9JZX8VFCOVoEbshp3q1+RdQtDQlaWp0j95ZetOBz+LdCvKAqXdPb0on+zp6TJsgnhD9PTk9AcO4oj4zyqxj2udhwhhAqkSBUsOdGLekmXBJJj6j8z33tL2XuLWaivY8fOREdHU11dxZ49+X63u/TEUI9v95TikqWoAmbnzp2MGDGCfv36kZOT49cyXz/88APDhg1jwIABLFiwoNZjI0eOJCMjw/dx9913n9Z+3LhxzJgxI1CnEFSG/64k4pN/4tZoMM99E2TFECFaJClSW7gqm5MVvxQD9d9hCsDlcrF1q6dI7d27b0CziYbTarW+Xxq2bt3kd7vsDnFEG7SUVNrYXmRuonQti81mY+TIkWRmZrJ48WLy8/NZsmTJWduUlpYyatQohg8fzsKFC1m+fDm5ubm+x3/++WeWL1/O+vXrWb9+PfPmzavV/ptvviE3N5dHH320Sc6pKSnmCkyPjQWg+oGHcFzQT91AQgjVSJHawq3MO0KlzUmHVhH0S29V7/Z79+7BbK4gMjKSbt26Bz6gaLCTRar/41L1Wg0DT+w+tWaPLEUVCGvWrMFisTBp0iTS0tIYP348ixYtOmubZcuWkZSUxOjRo+nYsSMPPfSQr01RkWcVju7duxMbG0tsbCxRUSeXjLNarUybNo0JEyYQGxvbdCfWRKKnT0VbeAhnx05UPjlF7ThCCBVJkdqCud1u34Spm3q3Q9OA8aSbN28EIDMzC53MvA0pWVl9ANi6dXO9dpHyjUvNl3GpgZCXl0fv3r2JjIwEICMjg/z8sw/B2LFjBwMHDvSN8c7KymLbtm0AbNmyBafTyaWXXkqfPn0YN24c5eXlvrbz5s3DarWi0+lYt25dg3YQUxR1PvTffUvku38DwDLndZToqKC+vprnHs4fct3k2jXkvP0hVUUL9kuRmR1HLBi0CtdkNmxWvrdI7d27TwCTiUDo0SMTrVbL0aNHKC4uIiXFv0lxF3eKR6PArqOVFFVYSYmNaOKkzZvFYiE1NdX3uaIoaDQaysvLiYuLq7NNly5dfJ+bTCaKiz3Dcvbt20dmZiYTJ05Eo9EwadIkZs+ezbRp0ygsLGTBggVkZWVRWFjIe++9R9u2bXnjjTeoz6TGhISYBp5tI1RVwWOPeP7+wAPE3TA8+BlQ6dybAbluDSfXrm5SpLZgizYVAnBFRhKtIvX1bu92u9myZRMg41FDUUREBN27n8f27b+wZctmv4vUVlF6strFsulQBWvyS/l93/qPVRYnabVaDAZDra8ZjUasVmudReqpbbzHAzzwwAM88MADvscee+wxHnnkEaZNm8aSJUtITExkwYIFGAwG7rzzToYMGcLatWsZPHiw35lLSswEe95c1LNTiNq9G2fbdhyf+DTuY8EdE60onmJBjXMPZ3LdGq6lXjvveftDbve3UMer7Xyx4ygAN/dpWBFy6FABJSXH0Ov19OiRGch4IkC866V6e7z9JUtRBU5cXBylpbXH91ZWVqLX1/2L4altznZ8bGwsZWVl2Gw2iouLGThwoK/ANZlMpKenU1BQUK/MbndwP7Q/bSDyrTcAsMyaiysmLugZvEWCGq8b7h9y3eTaNeS8/SFFagu14pdibE43GW1MZKY07FaDt/Dp0aMnRlkiJiT17XsBABs3/livdpecWIpqw8HjVNr8W2dVnFmvXr3YvHmz7/OCggJsNludvahnarN9+3aSkz1Dch555BE2bdrke2zr1q0kJSVhMBhISUmhpqbG95jL5aKoqIh27UK4N9xmI2bsaJT/b+/O46Kq+geOf2aGfVVEAVfSlAxXBEFccl/SNJdKe/JXmVu2PJk9laWZaVr5PLY+Vmb5lG2W4ppmbmmZIJgLKi6ZoMiiLAHDNjBzf38gU+bGwB2ZYb7v12teL2fmnnO/595h/M45555rMlEy+l4MAwbXdkRCCBshSaoDMikKMYcqhvpHdwyyaK7aX/05H1WG+m1Vx46d0Wq1pKae4+LFC1UuF+znTrN6bpQZFeKSc60YYd0XERFBQUEBa9euBWDp0qVER0ej0+nQ6/WUlZVdUaZv377s37+f2NhYysvL+eSTT8zD9W3atGHhwoUcOnSInTt38vbbbzNu3DgAhgwZws6dO9myZQsZGRn85z//wWAwEBYWdtPaaymPt/6NU9IxTP7+6Oe/XtvhCCFsiCSpDig2OZdzf5Tg5apjcNtG1a5HklTb5+XlRZs2IQAcOLC/yuU0Go25N1WWoqoZJycn5s2bx5w5c4iOjmbLli3MmFFxu8/hw4eza9euK8r4+fnx3HPPMXHiRHr06MGpU6d49NFHAZgyZQqtWrXi4YcfZsGCBYwdO5YpU6YA0LJlS958803ef/99Bg4cyK5du1iyZAleXl43r8EW0B07isdb/wZAv/DfKA0a1HJEQghbIhdOOaBvL10wNSw0EHdnXbXquHAhk/T0NLRaLaGhck9tW9a5cxeOH0/i118TGDhwSJXL9WzZgC/3n2fP7zmUmxSctNXrcRfQv39/fvjhBxITEwkLC8PPzw+AHTt2XLPMP/7xD3r06MHp06fp2rWrOdF0dnZmwYIFLFiw4KrlevfuTe/evVVvg+rKy/F+ahqa8nJKhwyjdPjI2o5ICGFjpCfVwZzPK2bPpZ6xMR2rdrX31ezfHw9ASEhbPD1ts5dGVAgLq7hjz6+/WjYvtVMTH3zdnPijuIxD5/OsEZpDCQgIoH///uYEtSpatGhB3759bbYntCbcP1yC88EDmHx80b+x2LLFE4UQDkGSVAez+mA6ChDVoj4t/DxuuP21VCap4eFyy0Jb1759R3Q6HRkZ6aSnp1W5nJNOS69LQ/47TmZZKzzhgHS//4bn6/MBKHxlAaaAwFqOSAhhiyRJdSAlZUbWH6m4pWJ1l50CUBSFhIR9AHTp0lWV2IT1eHh4cNtttwOWzUsF6NvGH4Cdv2VhsmTdECGuxWTCa/oTaEpKMNzRh5JxD9R2REIIGyVJqgPZeuIieSXlBPm40qNl1Ycc/y45+XdycrJxdXWV+ah2IiysektRdW1eH08XHRf1Bo6k39zF1UXd5PbpJ7js3YPi4UnBf96RYX4hxDVJkuogFEUxXzA1umNjdDW4CCYhoWKov0OHTrI+qp3o3DkcgF9/3Y8l93J3cdKaf9DIkL+oKW3qOTxfeQkA/aw5mJq3qOWIhBC2TJJUB3E0o4CkTD0uOg0j2tVs/tf+/RVD/eHhMtRvL9q164CzszMXL17g3LmzFpXt26YhADtPXbQowRXiMoqC9zP/RFuop6xrFCUTJt+4jBDCoUmS6iAqe1EHhDSknse1b8d4I+Xl5Rw48Csg81HtiZubm3k927i4vRaVjQ6uj5uTlrT8Uk5c0FsjPOEAXL/9Gpcd21BcXSl467+glf9+hBDXJ98SDiCnyMDWExcBuKcGF0wBJCUdpbi4CF9fX269tbUa4YmbpGvXbgDs22dZkurmrCP6looh/20y5C+qQXPhAl6znweg8F8zMcp3hxCiCiRJdQDrEjMoMyrcHuhNaJBPjeqqXHoqLCwCrfSE2JXIyCgADhz4ldLSEovK9g+pGPLfekKG/IXlvGc+gzY3l7L2HSl+9InaDkcIYScky6jjyk0KMYfSAbinU/UX76+0b18sIPNR7VFwcEsaNmyEwVBqvqVtVfVs6YeHs460vBK5yl9YxGXjelw3rEVxcqoY5neu/nQjIYRjkSS1jvvxVBYZBaXUc3dmQEijGtX1xx9/cPRoIvDn0LGwHxqNhsjIivNm6bxUN2cdvW6tWNh/y/ELqscm6iZNbg7ezz0NQNETT2Fs36GWIxJC2BNJUuu4L/efB2B0xyBcnWp2uvft24uiKNx6a2sCAgLUCE/cZJU/LuLiYi0uO+i2iiH/bSezMJpkyF/cmNdLL6C9eIHyNiEUPf1cbYcjhLAzkqTWYYlp+SSm5+Os09ToDlOV9u7dA0C3bt1rXJeoHV26RKDT6Th7NtmiW6QCRLaoj6+bE9mFBvaf+8M6AYo6w3nHVtxWfomi0VDw5nsgayoLISwkSWodVtmLOvi2Rvh7utSorvLycvMQcbduPWocm6gd3t7ehIa2A/6cX1xVzjqt+TapPxy/qHpsou7Q6AvwfuYpAIonP0p5RGTtBiSEsEuSpNZRaXkl7DhVkUjc36Vpjes7cuQwen0Bvr71aNs2tMb1idpTOeRf2TNuiUG3Vcxr3nEqC0O5SdW4RN3hOf9ldKnnMLYIpvD52bUdjhDCTkmSWketPHAekwJdm9fj1oaeNa7vl19+BiAyshs6na7G9Yna0717TwASEvZRXFxsUdlOTXxp5OVCQWk5P5/JsUZ4ws45x/6C+ycfAVCw+F3wrPn3jxDCMUmSWgfpS8tZl5gBwP3hNe9Fhb/OR5WhfnvXsuWtNG7cBIOh1OIhf51Ww5DbKy6a23AkwxrhCXtWXIzXU49V/POBBynreUctBySEsGeSpNZB649kUGgwEuznTrfg+jWuLzU1leTkM+h0Orp2jVIhQlGbNBoNPXpUJA8///yjxeWHXUpS957JIavQoGZows55LlqI0++nMQYGUfjy/NoORwhh5yRJrWPKjSZW/lpxwdS4Lk3RajQ1rnPbtm0AtG/fEW9v7xrXJ2pfz0s9XHv2/Ex5eblFZYMbeNA+yBujAt8nyZqpooLTwV9xX/IOAPpFb6H4+NZyREIIeydJah3zw4mLpOWX4ufhzJ1ta7Z4f6UtW7YAcMcdfVWpT9S+du06UK9effT6Ag4d+tXi8sPaBQIVQ/5ym1SBwYD3Px9DYzJRMmoMhkFDajsiIUQdIElqHWJSFP4Xdw6ouKLfzbnmFzhlZmZy8OBBNBoNd9zRp8b1Cdug0+nMF1Dt3r3L4vID2jTE1UnL79lFJGXq1Q5P2BmPd9/EKekopgYN0M9/o7bDEULUEZKk1iG7fsvmTE4RXq46RncMUqXO3bt3AtC+fQf8/RuqUqewDb169Qbg5593Wdwb6u3mRO9Lt0mVC6gcm+54Eh6LKxJT/YJFKP7+tRyREKKukCS1jlAUheVxZwG4t3MTvFydVKl3587tAPTu3U+V+oTtCAuLwN3dnYsXL5CUdNTi8nddGvLfnHSBIoNR7fCEnfB4axGasjJKB99J6d2jazscIUQdIklqHbEv5Q+SMvW4OWkZ17mJKnVevHiBxMRDADLUXwe5uroSHV0x5L99+w8Wl49oXo9m9dwoNBjZclwuoHJUhgGDKR0yDP2it0CFCzWFEKKSJKl1xCeXelFHdgiinoezKnVWDvV36tSJRo0CVKlT2JYBAwYBsH37VoxGy3pDtRoNozo2BmD1oXS5gMpBlY6+l/xPv8QUEFjboQgh6hhJUuuAQ+fz+DU1Dyethn+otHg//DnUP2jQINXqFLYlIiIKHx8fcnKyOXBgv8Xlh4UG4KLTcOKCnqMZBVaIUAghhKOSJLUOqOxFHRoaQIC3qyp1pqWd5/Dhiqv6JUmtu5ydnenTpz8AW7d+b3H5eu7ODAipuKBu1aF0VWMTQgjh2CRJtXOH0/L55UwuOg08GNFMtXq3bNkEQFhYOEFB6qwUIGxT//4VP0J27dpJaWmJxeVHXxry33biIn8Ul6kamxBCCMclSaqd+2BPMgDDQgNpVt9dlTpNJhPff/8dAEOGDFOlTmG72rfvSKNGARQVFbJ37y8Wl28X5E1IIy9Ky02sPSy9qUIIIdQhSaod23/uD+LP/oGTVsMj3ZqrVu/hwwdJT0/D3d3DvJamqLu0Wq25N3Xr1s0Wl9doNIwLq1hRYuWBNMqMJlXjE0II4ZgkSbVTiqKYe1FHdggiyMdNtbore1H79OmHu7s6vbPCtg0cWHEby19++Zns7CzLy9/WkIZeLmQVGmQ5KiGEEKqQJNVO7U3O5eD5fFydtDwcqd5c1OLiYn78cQcAgwcPVa1eYdtatmxFaGh7jEYjmzdvtLi8s07LfZfW5/0i4bwsRyWEEKLGJEm1Q0aTwju7fwdgTMfGNPRS54p+qFgbtaiokKCgxnTo0Em1eoXtGz58JAAbNqzFZLJ8yH5kh0DcnbX8llVIXEqu2uEJIYRwMJKk2qHvjmZyOqsIHzcnJkSp14sKsGbNKgDuvPMutFr5eDiSPn364+XlRXp6GgkJcRaX93FzZkT7ipUgVsSnqh2eEEIIByNZiJ0pLjPy/qW5qBMim+Pjps7dpQCSko5x7NgRnJ2dueuuu1WrV9gHNzc3Bg26E4D169dWq45xYU3QaTXsO/sHh9PyVYxOCCGEo5Ek1c58kZBKVqGBxr5u3NOpsap1x8SsBCp61Pz8Gqhat7APlUP+e/bsJivL8guoGvu6Mez2ilvofrQ3RdXYhBBCOBZJUu1IZkEpn8WfA+CxHsG4OKl3+nJzc9ixYxsAo0bdq1q9wr7ccksr2rfviNFoZN261dWq46HIZui0GmKTc6U3VQghRLVJkmpH3vrxd4rLTHRs7GO+FaVaNmxYS1lZGW3bhnL77aGq1i3syz33jAVgzZpvKS4utrh803ruDL29ESC9qUIIIapPklQ7EZeSy7aTF9Fq4Nl+t6LRaFSru6ysjHXrYgAYPVp6UR1dz569adKkKfn5+WzatL5adTwc2RydBmKTczl0Pk/lCIUQQjgCSVLtQJnRxL93/AZULDnVppGXqvV///13XLx4gQYN/Ondu5+qdQv7o9PpuO+++wFYufJLysvLLa6jaT13hoUGAvD2rjOybqoQQgiLSZJqB75ISCU5p5j67s5M7R6sat3l5eV8/vn/ABg37gFcXFxUrV/YpyFDhlGvXn0yMtLZtWtHteqYHN0CNycth9Py2XwkQ+UIhRBC1HWSpNq45Jwi87y+J++4BW83J1Xr37r1e9LT06hXrz7Dh49StW5hv1xd3Rg16h4AvvxyRbV6Qht5u/JAeFMAFm5OwlBu+Q0C6oqTJ08yevRoIiIieP3116t0PPft28eQIUOIjIxk+fLll703depUQkJCzI+HHnroivJlZWXcddddxMVZvuatEELYAklSbZhJUZi/5SQGo0K34PoMvbS0j1qMRqO5F/W+++7Hzc1N1fqFfRs5cgzu7h6cOnWCXbt2VquO8RHNaODpwrmcYr45kKZyhPbBYDAwdepUQkNDWb16NadPnyYmJua6ZXJycnj00UcZOnQoK1euZMOGDcTGxprfP3LkCBs2bCA+Pp74+HiWLFlyRR3Lli3j5MmTqrdHCCFuFklSbdi3B9I4lJaPh7OOFwa0VvViKYCdO7dx7txZvL19GDlyjKp1C/vn61vPPDd12bL3qzU31cNFx6M9WlTUEZtCVqFB1Rjtwe7du9Hr9cycOZPmzZvz9NNPs2rVquuWWb9+PQ0bNuSxxx4jODiYadOmmctkZFRMnWjTpg0+Pj74+Pjg4eFxWfnk5GQ++eQTmjRpYp1GCSHETSBJqo1KySnivZ/OAPBEr1sI9FG3l9NgMPDRR+8DcO+94/Dw8FS1flE33Hff/fj6+nL2bArff/9dteq4KzSQ9k180ZcaWbzztMoR2r7jx4/TsWNH3N3dAQgJCeH06esfhxMnThAVFWX+YdqhQweOHTsGwOHDhzEajfTq1YtOnToxffp08vIuX0HhpZdeYtKkSdVOUjUax3w4ctvluMmxu9ntrgp1JzgKVZQZTczedJySchPhzesxqmOQ6vtYvXol6elpNGjgzz33jFO9flE3eHp6MX78w7z33lssX/4RAwYMwtXVsh9MOq2GhaPaM/y9n9l64iJDQwPofouflSK2PXq9nqZNm5qfazQatFoteXl5+Pr6XrNMq1atzM+9vLzIzMwEKnpJQ0NDee6559BqtcycOZPFixczd+5cAFavXo1er2fChAn89NNP1Yq5QQPvKm1nNMJPP0F6OgQFQc+eoNNVa5c2o6ptF5eT41Z9cuyuTZJUG/T+z8kkZerxdXNi7uAQtJb87KiC3NwcPvvsEwAmT552xVChEH81YsRovvnmKy5cyGTVqpX84x8PWlxHuya+jAtrwhf7z/P6tlOsfCgcd2c7z2aqSKfTXbFqhqurKyUlJddMUv9epnJ7gMmTJzN58mTze8888wxPPvkkc+fOJScnh8WLF7Ns2TKcnKr/9Z6dXcCNru3auNGJF190JS3tzwG5xo1NvPpqKcOGWT41pLZpNBXJQlXaLv4kx636HPXYVba7KmS438bEJeeyIiEVgFkD29DI21X1fSxf/hGFhYW0aXMbgwbdqXr9om5xdXVl4sSpAHz66cdkZKRXq54p3YMJ9HYlPb+U/16ayuIIfH19ycnJuey1wsJCnJ2dq1zmetv7+PiQm5uLwWDg1VdfZcyYMbRt27ZGMSvK9R8bNjgxYYIbaWmX/4BOT9cwYYIbGzY43bAOW3xUpe3ykOMmx06ddleFJKk2JD2/hBe/SwJgVIcgerf2V30fJ04cZ/36NQA8/vhTaLXyERA3NmjQnXTs2JmSkhLefvs/1arDw0XHzAGtAVh5II09Z3JuUKJuaN++PYcOHTI/T01NxWAwXLMX9WplkpKSCAioWN3jySef5ODBg+b3EhMTadiwIS4uLmzcuJEVK1YQHh5OeHg4+/fvZ+rUqSxdulS19hiNMGuW66X/aC5PUhWl4vmsWa4YjartUgjhoCRDsRElZUb+te4YeSXltA3wYnrvlqrvo6ysjIULX8FkMtG37wA6dQpTfR+ibtJoNMyY8RxOTk7s2bObn37aVa16om/x477OjQF45fsTZDvA1f4REREUFBSwdu1aAJYuXUp0dDQ6nQ69Xk9ZWdkVZfr27cv+/fuJjY2lvLycTz75hB49egAVV/UvXLiQQ4cOsXPnTt5++23GjauYV759+3bWr1/P2rVrWbt2Le3atWP+/PmMHTtWtfbExuouDfFffRqSomhIS9MSG+sY0zmEENYjSaoNUBSFBVtPceKCnvruzrwx/HbcrDBfb8WK5fz++2/4+tbjqaeeUb1+UbcFB7dk3LgHAHjrrUXo9fpq1fNEr5bc6u9JTlEZr2w5gcmSsR875OTkxLx585gzZw7R0dFs2bKFGTNmADB8+HB27boy4ffz8+O5555j4sSJ9OjRg1OnTvHoo48CMGXKFFq1asXDDz/MggULGDt2LFOmTAGgadOmlz1cXV3x9/fHx8dHtfZkZlZtjnxVtxNCiGvRKHXsptpZWbYzAVmjAX9/7xvGtPSXZD7aexadBv57Twe6NKuneiynTp1k8uQHMRqNzJnzKv36DahSuaq24cb1aMgpLWfv6SxKym7enYc0gJeXG3p9CX8P39fdidub1udAcvZNjel63Jy1dGvlj5+rE5V/mmqdAzWUlJTw0EPjSEs7T79+A3nppXncaP3eq8X/W1YhD37+KwajwqRuzZkcHWz94Gugsg3Z2QXVvhI3MzOTxMREwsLC8POr2uoGKSkpnD59mq5du+Ll5VWt/VbH9T5re/boGDnyxhdbrllTRPfu9jPmb0t/Z/ZEjlv1Oeqxq2x3VUhPai2LOZzOR3vPAvBsv1utkqAWFRUxf/5Ll9ZW7EPfvv1V34dwDG5ubsye/Qo6nY7t23+o9tqpt/p7muenfrT3LNtPXlQzTJsUEBBA//79q5ygArRo0YK+ffve1AT1RqKijDRubEKjufr/qhqNQuPGJqKi7CdBFULYJklSa9GPp7J4fdspAB6Jas6ojo1V34eiKCxatIAzZ36nQQN/nn762Rv2fAlxPaGh7XnkkYrh5bfeWsTZsynVqmdYaCD3d6lYbP7lzSc4kVm96QPi5tLpYP78UoArEtXK5/Pnl9r9eqlCiNonSWot+fFUFjM3JmFSYES7QKZEt7DKflav/obt239Ap9Mxd+4C/PwaWGU/wrGMGzeezp27UFxczIsvPktBQUG16nmiV0uigutTUm7in2uOcC63WOVIhTUMG1bOxx+XEBR0eZIaFKTw8ccldrlOqhDC9kiSWgt2nLzI8xuTKDcpDAxpyPMDWluldzMhYR///e9bAEyb9k86dOik+j6EY9LpdMye/QoNGzYiJeUML730POXllicmTloNC4a2pXVDT7ILDUz79jAZ+SVWiFiobdiwcvbvL2TNmiI++KCYNWuK2L+/UBJUIYRqJEm9ydYfyeCFjUkYTQqD2zZi7p234aRVP0E9duwIL774L4xGI/37D2TMmPtU34dwbP7+DXnttcW4u7uzf388//73QqpzHaa3mxPvjm5P8/ruZBSU8tiqRC4UlFohYqE2nQ66dzcyalQ53bsbZYhfCKEqSVJvEpOisOTnM8zbchKjAkNDA3h5cIhVEtQzZ07z7LNPUVxcTHh4JM8//5LMQxVW0bp1G15++VW0Wi2bNm3g3XffrFai2sDThf+OaU+gtytnc4t55KuDJGcXWSFiIYQQ9kKS1Jug0FDOixuTWB53DoAJUc2ZM6gNOiskqCdOHOeppx4jPz+f229vx/z5r19x33Ah1NStWw+eeeZ5AFat+po333wDk8nyJb0Cfdz48L6O5h7ViV8fJDEtX+1whRBC2AlJUq3sWFo+41ccYNvJLHRaDbMHteHR7sFWm4P65JNTyc3N4dZbW/P664vx8LjxeoZC1NSwYXfz/POz0Wg0rF27moUL52IwWH43qca+biwb25HbA73JKylnyjeHiDmcXq3eWSGEEPZNklQrMZoUPk9I5e4lezibW0yAtysf3tuB4e0CVd+XoiisX7/m0hB/EZ07d+Gddz7E17ee6vsS4lruvPMuXnxxLlqtli1bNvPkk1PJyrJ8/dP6Hi68f08H7mjVgDKjwsKtp5i75STFZbLuphBCOBJJUq3g1EU9E746yFs//o6h3ESPln58Pj6Mjk18Vd9XYaGeV16Zzb//vZDy8nL69OnPokVv29Ti38JxDBw4mDfeeAsvL2+OHTvCpEkPkpCwz+J6PFx0vDHidh7veQtaDXx3NJOxn+5nX0quFaIWQghhi5xqO4C6JKvQwNJfklmXmIFJAS9XHbOH3U7f4HpU3KBTXXFxe3nzzTdISzuPTqdj8uTHuO+++9Fq5beHqD1du0axdOn/eOGFZ0hOPsP06Y8TG3sfEyZMxd3ds8r1aDUaHuzajHZB3ry8+QRpeSU8tiqRu0IDmNYjGH8vVyu2QgghRG2TbEYFWYUG3vvpDKM+3seawxUJar82/nz7cDj3RTRXff5pRkY6c+bM5F//+idpaedp1CiAd975kHHjHpAEVdiEpk2b8cEHy7n77jEArFy5kvHj72Pz5o0YjZYN23dpVo+vH+rCmI5BAGw4msnIj+P5cE8y+lJZk1MIIeoq6UmtgROZelYfTuO7o5kYjBUXdrQL8uafvVrSqakval8blZGRzuef/49NmzZQXl6OTqdj9Oh7mTBhMh4eVe+hEuJm8PDw4Omnn6V37z4sWrSA8+fPs3DhK3zzzZf83/9NoGfP3jg5Ve0ryNPFief6t2Zw20a8vet3EtMLWBZ7lq9+Pc/IDkGMDWtCgLf0rAohRF0iSaqFMgtK2XEqi01HMzl+4c97jbcP8uHBrk3p1aqBqj2nJpOJhIR9rFsXwy+//GTuhQoLC+exx56ides2qu1LCGvo0iWC7777jg8//JgVK5Zz+vRvzJnzAoGBQYwceQ8DBgzG39+/SnV1bOLLx+M6sfNUFh/8ksKZ7CI+T0jly/2pdAv24652AfRo2QBXJxlREEIIeydJ6g2Ulps4kp5P/Nk/iEvJ5Uj6n/cod9Zp6HOrP6M7BdG5ia9qyWlpaSlHjhxm9+4f2b17J9nZWeb3unSJ4KGHJtKxY2dV9iXEzeDq6sr994/nzjvvYtWqlaxdu5qMjHTef/8dPvzwPcLCIrjjjt5ERkYTGBh03bo0Gg192zSkd2t/fjmTw+cJqew/l8eeMznsOZODu7OWbsF+9GzlR5dm9QjycbtJrRRCCKEmm0tST548ycyZMzl79ixjxozh2WefvWl3Syo3KZzNLeLEBT0nMgs5caGAxPQCSsv/XJhcA3Rs4kO/Ng0ZfFsj6nk412ifiqKQnZ3F77//RmLiYQ4e/JWkpKOXrTHp5eXFoEF3MmLEKIKDW9Zof0LUJl/fejzyyBQeeOBBfvjhezZt2sDRo4kkJMSRkBAHQPPmwbRr1562bUNp2zaUli1bXXVagFajoUfLBvRo2YCUnCI2Hs1k07FMLugN7DiVxY5TFT/uAr1d6dTUlw6NfbjV35NW/h74uNXs71YIIYT1aRQbWiXbYDAwePBgevTowcSJE5k/fz6DBg1i9OjRVa4jK6uAqrbo0Pk8tp64yLk/ikn9o4S0vBLKTVcWbuDpQngzXyKa1yP6Fj8aVvGqYo0G6tf34MyZNPLy8sjJySYjI53MzAwyMzM4ezaFM2d+p6Dgyrvq+Pk1ICoqmjvu6EuXLhG1dtcojQb8/b0tOq5Xr0dDTmk5e09nUVJm+d2Iqr1fwMvLDb2+hL+H7+vuxO1N63MgOfumxnQ9bs5aurXyx8/VybyAvVrnoLbcKP7z51PZsWMrsbG/cPRo4hV3q3JycqJJk2Y0a9aMZs2aExTUmAYN/PHza0CDBv7Ur++Hq2vF36SiKBy/oGfXb9nEJudyPLMA41X22cjLhWA/D0KDvJkQ2Rw35+vfdL6yDdnZBTRo4F3tY2Ev7PWzVhP2/ndWW+S4VZ+jHrvKdleFTfWk7t69G71ez8yZM3F3d+fpp59m7ty5FiWplpi9ai8XzhwHxVTxQMFdq9DI04VGns409HSikbcL9Vx1KLkm/sgysjHBhMlkory8nNLSUkpLSygpKfnbv0vQ6/Xk5+dRUFBww7vlaLVamjZtRkhIWzp1CqNTp840bar+qgBC2KImTZoyfvzDjB//MPn5eSQmHubYsSMkJR0lKekohYWFpKScISXlzDXr8PDwxNPTE3d3Dzw9PfHw8KCJhwe3uLqjL9eQU2Iir1Qhz6CgL4ccjY4crY4EDz+ig8fTqWm9m9dgIYQQVWJTSerx48fp2LEj7u7uAISEhHD69GmL6tBqqfIvknqHvqQs/dwVrxcCZy49aqrytqSenp7Uq1efRo0a0ahRAI0aBRAY2JhbbrmFpk2b4+paOz2lN1KZJ1tyXK9Vj04Dnq5OOOtu3p2DNJqKheE17ror4vdwcUKrAS+3mxvT9bg46dBpLj/eap2D2mJJ/PXq+dKzZ0969uwJVFw4ePHiRc6fP0dqaiqpqee4ePECOTk55ObmkJOTTVlZGQBFRYUUFRWSnX3tu1w5AfX+9pprQV+02r+/evU2OMrvRkdp51852jlWixy36nPUY2dJe21quP+1116jtLSUOXPmmF+Liopiy5Yt+Pqqf7cmIYQQQghhm2xqnRadTnfF3EtXV1dKSkpqKSIhhBBCCFEbbCpJ9fX1JScn57LXCgsLcXaWK3GFEEIIIRyJTSWp7du359ChQ+bnqampGAwGGeoXQgghhHAwNpWkRkREUFBQwNq1awFYunQp0dHR6HTXXx5GCCGEEELULTZ14RTAtm3bmDFjBp6enhiNRj7//HNat25d22EJIYQQQoibyOaSVIDMzEwSExMJCwvDz8+vtsMRQgghhBA3mU0mqUIIIYQQwrHZ1JxUIYQQQgghQJJUIYQQQghhgyRJFUIIIYQQNkeSVAudPHmS0aNHExERweuvv05VpvTu27ePIUOGEBkZyfLly6+6TVlZGXfddRdxcXFqh3wZteOfOnUqISEh5sdDDz1kpcj/ZK1zMH36dObNm6d2uFdQM/533333suNf+bC3z9GyZcuIjo4mLCyMJ554gtzcXGuFDqgbv6IofPTRRwwcOJDIyEjmzp1LUVGRNcMXNVSd8w+1831X26z1fesIqnPsHPEzdl2KqLLS0lKlT58+yuzZs5WUlBRl0qRJyqpVq65bJjs7WwkLC1Peffdd5cyZM8rIkSOVvXv3XrHdkiVLlDZt2iixsbHWCt8q8Xfv3l05ceKEkpeXp+Tl5SmFhYVWi99abVAURdm9e7cSFRWl5OXlWTN81eMvKSkxH/u8vDwlKSlJiYqKUvLz8+2mDfv27VOGDh2qnD59WklOTlYmTZqkPPfcc3YT/zfffKP07NlTOXTokHL69Gll1KhRyjPPPGO1+EXNVOf8V7rZ33e1zZr/59V11f2cOdpn7EYkSbXA1q1blYiICKWoqEhRFEVJSkpSxo4de90yy5cvVwYNGqSYTCZzHTNmzLhsmzNnzijh4eFKnz59rJqkqh1/enq60r17d6vFezXWOAfFxcVKv379lG+//dZ6gV9irc9QpVmzZikffPCBukH/jdptWLZsmfL666+bt127dq1y3333WSl69eO///77lf/973/mbX/88Uelc+fOVope1FR1zr+i1M73XW2z9vdVXVadY+eIn7EbkeF+Cxw/fpyOHTvi7u4OQEhICKdPn75umRMnThAVFYVGowGgQ4cOHDt27LJtXnrpJSZNmkSTJk2sE/glasd/+PBhjEYjvXr1olOnTkyfPp28vDy7agPAkiVLKCkpwcnJib1791Z56M9W4q+UmZnJ1q1beeCBB9QP/C/UbkPr1q3ZunUrZ8+eJTs7m1WrVhEdHW038efm5tK4cWPztlqtVu6SZ8Oqc/6hdr7vaps1v6/quuocO0f8jN2IJKkW0Ov1NG3a1Pxco9Gg1Wqv+yH6exkvLy8yMzPNz1evXo1er2fChAnWCfo6sdQ0/uTkZEJDQ/n4449ZvXo158+fZ/HixdZrwFXiqWkb0tLSWL58OS1atCAtLY1Fixbx+OOPWy1RtcZnqNLXX3/NsGHD8PT0VDfoG8RT0zb06tWLFi1aMGDAAKKjoykuLmby5Ml2E3/btm3Ztm2b+b2YmBi6d+9uhciFJaZNm0Z4ePgVjxUrVlh8/qF2vu9qmzW/r+q66hw7R/yM3YgkqRbQ6XS4uLhc9pqrqyslJSVVLvPX7XNycli8eDGvvvoqTk5O1gn6OrH8PZ6qlPnr9pMnT2bZsmW0bt2aVq1a8cwzz7BlyxbrBH+NeP4eU1XK/HX7mJgY/P39Wb58OdOmTeOzzz4jPj6ePXv22EX8lYxGI99++y3jxo1TN+AqxHOtmK5X5q/bb9q0ibS0NDZv3kxcXBytW7fmX//6l3WCv0osf4+nKmX+uv306dM5fPgw999/P8OHD2fTpk1W780WN/bKK6+wdu3aKx4jRoyw+PxD7Xzf1TZrfV85guocO0f8jN2I9TOjOsTX15dTp05d9lphYSHOzs7XLZOTk3PV7V999VXGjBlD27ZtrRPwVWJRM/6/8/HxITc3F4PBcMUfp1rUbkNmZiZRUVHmeL28vGjRogWpqalWiN565yAuLo769evTqlUrdQO+RjxqtuG7775j3LhxtGzZEoAXX3yRLl26kJ+fj4+Pj83H37RpUzZt2sTvv//OokWL8Pf3Jzw8XPW4hWX8/f2v+bql5/9qbsb3XW2z9v8ZdVl1jt3fOcJn7EakJ9UC7du359ChQ+bnqampGAwGfH19q1wmKSmJgIAAADZu3MiKFSvMw1D79+9n6tSpLF261C7if/LJJzl48KD5vcTERBo2bGjVPya12xAYGEhpaan5PZPJREZGxmVzDNWkdvyVNm/eTP/+/dUPuArx1LQNRqORrKws83sXLlwwv24N1jgHGo0GLy8vfvnlF2bMmGGVuIU6qnP+oXa+72qbtb6vHEF1jp0jfsZuRJJUC0RERFBQUMDatWsBWLp0KdHR0eh0OvR6PWVlZVeU6du3L/v37yc2Npby8nI++eQTevToAcD27dtZv369eRiqXbt2zJ8/n7Fjx9pF/G3atGHhwoUcOnSInTt38vbbb1t9uFntNgwZMoSdO3eyZcsWMjIy+M9//oPBYCAsLMwu4q/0008/ERkZaZWY/07tNoSFhfHNN9/w1VdfsWbNGp5++mk6d+5M/fr17SL+SkuWLGHw4MGEhoZaJW6hjuudf+Can4Ha+L6rbdb6W3EE1Tl2jvgZu6HaXl7A3mzdulXp0KGD0q1bN6Vr167KyZMnFUVRlD59+ihbt269apnPP/9cCQ0NVSIjI5U+ffooFy9evOp2DzzwgFWXoFIUdeM3GAzKzJkzlc6dOyv9+/dX3n33XaWsrMyq8avdBkVRlJ07dyojRoxQ2rdvrwwdOlRJSEiwq/hTUlKUtm3bKnq93qpx/5WabSgpKVHmzZun9OjRQwkNDVUeeOABJSUlxW7iVxRFSU5OVsLCwpS0tDSrxi3Uca3zryjX/gzU1vddbbPm/3l1naXHzlE/Y9ejURQrrrdTR2VmZpKYmEhYWBh+fn5VKpOSksLp06fp2rUrXl5eVo7w+uw9frD/Nth7/GD/bbD3+EXNVOf8Oyr5W6k++ZzVjCSpQgghhBDC5sicVCGEEEIIYXMkSRVCCCGEEDZHklQhhBBCCGFzJEkVQgghhBA2R5JUIYQQQghhcyRJFUIIIa4hJiaGkJCQKx5xcXHExcXRt2/f2g6xymJiYhg/frzN13mzXa8NdaF99kySVCGEEOIahg0bRnx8PF988QUA8fHxxMfH06VLl1qO7OpCQkJITU296nvDhg3jgw8+uMkR2QY5LvbJqbYDEEIIIWyVi4sLLi4ueHp6AuDj41PLEVVfZVvE5eS42C7pSRVCCCFqYPv27fTp04eIiAg+++wz8+uHDx/mnnvuoUuXLjz++OMUFBSY34uPj2fEiBFEREQwY8YM8vPzze+NHz+emJgYli9fTp8+fdi+fbv5vd27d3PXXXcRHh7Oiy++iMFgAGDw4MGEhIQA0K9fP0JCQvjuu+8ui/NaQ9cbN25k4MCBdOnShenTp18W51dffcUdd9xB586dmTZtGnq9vkbHSlEU3nnnHaKiohgyZAizZs0yx/Tuu+/y/PPPm7f9+3SKa8VSWe69994jPDycPn36kJCQUOPjcj1r165l4MCBREZGsnjxYirvi6QoCq+99hqRkZFEREQwf/585J5J1SdJqhBCCFFNubm5fPTRR3z44Yc88cQTvPHGG5SUlJCfn8+kSZO444472LBhA8XFxbz22msApKenM3nyZP7xj38QExNDYWHhZckZwMqVK4mNjWXevHl07twZgLNnzzJt2jQefPBBYmJiOHr0KMuWLQNg1apVxMfHA7Bu3Tri4+MZOHDgDeM/cOAAs2fP5vnnn2fdunVkZWXxzjvvAHDixAnmzZvHwoUL2bx5Mzk5OXz55Zc1Ol4//PADX3zxBe+99x4LFixg27ZtVSp3o1h27drF2bNnWbNmDWFhYbz55ptA9Y/L9SQkJDBr1ixeeOEFVqxYwbp161i/fj0AP/30EzExMXz66ad8+eWXbNu2jZ9//rlG+3NkMtwvhBBCVFNRUREvv/wybdq0ITg4mFdffZXs7GwSEhJwdnbmscceQ6PR8NBDD/Hss88CsH79ejp37sy9994LwNy5c+nVqxcXL16kYcOG5no///xznJ2dzfvauHEjt99+O2PGjAFg7NixrFq1imnTpuHl5WXezsvLq8rTEmJiYhg+fLi5x3Lu3LlcuHABgODgYH7++WecnZ05fPgwiqKQnJxco+O1fft2hg8fTnh4OAD33nsvBw4cuGG5G8Wi0+mYN28erq6ujBw5kpdeegmg2sfletasWcOAAQPo3bs3AMOHD2fHjh2MGDECNzc3TCYTBoOB0NBQduzYgUajqfE+HZUkqUIIIUQ1+fr6cttttwGY5zUqikJmZiY5OTlEREQAYDKZKCwspLS0lPT0dJo2bWquIyAgABcXF9LT081J6tixYy9LUAEyMzM5duyYOcEzGo14eHjUKP6MjAxzjAAtW7akZcuWAJSUlDBr1izi4+Np27YtOp0Ok8lUo/1lZ2fTunVr8/PGjRtfM0ktKSm57N/Xi6VTp064uroCXHHc1JaZmUlcXJz5PJSVlZmnFHTt2pUpU6Ywc+ZMLly4wKBBg3jhhRdqfJ4clSSpQgghRDX9tafurwIDA2nXrh2LFy8GKhJXvV6Pk5MTjRs3JjY21rxtZmYmBoOBxo0bm19zd3e/ap19+/Y198iaTCaKi4sv20aj0Vg0BzIoKOiyq95jY2NZtmwZy5Yt47PPPiMnJ4c9e/bg4uLCG2+8QU5OTpXrvppGjRqRkZFhfn7u3LnLYjcajebniYmJ5n/fKJZrnYe/1q3W3NDAwEDGjh3Lgw8+CEB5ebk5YU5JSaFv375MmjSJzMxMJk6cyNdff82ECRNU2bejkTmpQgghhMp69+5NWloahw8fRqfTsWnTJiZOnIiiKAwfPpwDBw7wzTffcO7cOebMmUP//v3x9/e/bp3Dhg0jISGBlJQUoCJxmzlz5mXbtGjRgl27dpGZmWmei3k9o0aNYsOGDezcuZNz586xdOlSc7JcVFQEVMy73bBhA1999VWNE71+/fqxceNGEhISOHDgAKtWrTK/FxAQQGJiIgaDgTNnzvDtt9+a36tpLJYel+u5++672b59O1lZWRiNRt58803eeustoCLJf+KJJzh27Jj5oraa9j47MklShRBCCJX5+PiwZMkSli9fzpAhQ9i6dSvvv/8+Tk5OBAYG8uGHH/LFF18wcuRIPDw8WLhw4Q3rbNasGa+99hqvvfYaw4YN4+TJk+ae2kovv/wyn376KQMGDODrr7++YZ2dOnUyX5A0atQo/P39zT21//d//4eiKAwePJiYmBjGjBlDUlJS9Q7IJf3792f8+PE8/vjjzJo1i6FDh5rfGzp0KI0bN2bQoEHMnj2bp59+2vxeTWOx9LhcT3h4OE888QTPPvssd999N2VlZcyZMweoSPrDw8N55JFHGD58OMHBwYwbN65G+3NkGkXWRhBCCCFELYiJiWHNmjWsWLGitkMRNkh6UoUQQgghhM2RnlQhhBBCCGFzpCdVCCGEEELYHElShRBCCCGEzZEkVQghhBBC2BxJUoUQQgghhM2RJFUIIYQQQtgcSVKFEEIIIYTNkSRVCCGEEELYHElShRBCCCGEzfl/+zmnCXLrc3oAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 170
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:33.295171Z",
     "start_time": "2024-09-18T13:10:32.657737Z"
    }
   },
   "cell_type": "code",
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.title('Age VS Label')\n",
    "ax = sns.countplot(x='age_range', hue='label', data=train_data_user_info)"
   ],
   "id": "8ae41403672578a1",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 171
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:33.642734Z",
     "start_time": "2024-09-18T13:10:33.296176Z"
    }
   },
   "cell_type": "code",
   "source": [
    "repeat_buy = [rate for rate in train_data_user_info.groupby(['age_range'])['label'].mean()]\n",
    "plt.figure(figsize=(8, 6))\n",
    "ax = plt.subplot(1, 2, 1)\n",
    "sns.distplot(repeat_buy, fit=stats.norm)\n",
    "ax = plt.subplot(1, 2, 2)\n",
    "res = stats.probplot(repeat_buy, plot=plt)"
   ],
   "id": "881cc409c7317126",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 172
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:40.261500Z",
     "start_time": "2024-09-18T13:10:33.644253Z"
    }
   },
   "cell_type": "code",
   "source": [
    "all_data_1 = user_log.merge(train_data, on=['user_id'], how='left')\n",
    "all_data_1[all_data_1['label'].notnull()].head()"
   ],
   "id": "143c2fb072dadf68",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "     user_id  item_id  cat_id  seller_id  brand_id  time_stamp  action_type  \\\n",
       "419   234512   146770    1173        693    3186.0         625            0   \n",
       "420   234512   146770    1173        693    3186.0         625            0   \n",
       "421   234512  1106076     992       3783    8164.0        1016            0   \n",
       "422   234512  1106076     992       3783    8164.0        1016            0   \n",
       "423   234512   866567    1198        693    3186.0         625            0   \n",
       "\n",
       "     merchant_id  label  \n",
       "419       3018.0    0.0  \n",
       "420       3271.0    0.0  \n",
       "421       3018.0    0.0  \n",
       "422       3271.0    0.0  \n",
       "423       3018.0    0.0  "
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>cat_id</th>\n",
       "      <th>seller_id</th>\n",
       "      <th>brand_id</th>\n",
       "      <th>time_stamp</th>\n",
       "      <th>action_type</th>\n",
       "      <th>merchant_id</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>234512</td>\n",
       "      <td>146770</td>\n",
       "      <td>1173</td>\n",
       "      <td>693</td>\n",
       "      <td>3186.0</td>\n",
       "      <td>625</td>\n",
       "      <td>0</td>\n",
       "      <td>3018.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>234512</td>\n",
       "      <td>146770</td>\n",
       "      <td>1173</td>\n",
       "      <td>693</td>\n",
       "      <td>3186.0</td>\n",
       "      <td>625</td>\n",
       "      <td>0</td>\n",
       "      <td>3271.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>234512</td>\n",
       "      <td>1106076</td>\n",
       "      <td>992</td>\n",
       "      <td>3783</td>\n",
       "      <td>8164.0</td>\n",
       "      <td>1016</td>\n",
       "      <td>0</td>\n",
       "      <td>3018.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>234512</td>\n",
       "      <td>1106076</td>\n",
       "      <td>992</td>\n",
       "      <td>3783</td>\n",
       "      <td>8164.0</td>\n",
       "      <td>1016</td>\n",
       "      <td>0</td>\n",
       "      <td>3271.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>234512</td>\n",
       "      <td>866567</td>\n",
       "      <td>1198</td>\n",
       "      <td>693</td>\n",
       "      <td>3186.0</td>\n",
       "      <td>625</td>\n",
       "      <td>0</td>\n",
       "      <td>3018.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 173
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:42.037039Z",
     "start_time": "2024-09-18T13:10:40.261500Z"
    }
   },
   "cell_type": "code",
   "source": [
    "all_data_2 = all_data_1[all_data_1['label'].notnull()]\n",
    "all_data_2_sum = all_data_2.groupby(['time_stamp'])['label'].sum().reset_index()\n",
    "all_data_2_sum.head()"
   ],
   "id": "7ec2fe43707494cc",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   time_stamp   label\n",
       "0         511   943.0\n",
       "1         512   975.0\n",
       "2         513  1221.0\n",
       "3         514  1170.0\n",
       "4         515  1260.0"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time_stamp</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>511</td>\n",
       "      <td>943.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>512</td>\n",
       "      <td>975.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>513</td>\n",
       "      <td>1221.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>514</td>\n",
       "      <td>1170.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>515</td>\n",
       "      <td>1260.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 174
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:42.044293Z",
     "start_time": "2024-09-18T13:10:42.038044Z"
    }
   },
   "cell_type": "code",
   "source": [
    "all_data_2_sum['time_stamp'] = all_data_2_sum['time_stamp'].astype(str)\n",
    "all_data_2_sum['label'] = all_data_2_sum['label'].astype(int)\n",
    "a = []\n",
    "for i in range(len(all_data_2_sum)):\n",
    "    if len(all_data_2_sum['time_stamp'][i]) == 3:\n",
    "        a.append(all_data_2_sum['time_stamp'][i][0])\n",
    "    else:\n",
    "        a.append(all_data_2_sum['time_stamp'][i][0:2])"
   ],
   "id": "f866fb7993c75335",
   "outputs": [],
   "execution_count": 175
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:43.205157Z",
     "start_time": "2024-09-18T13:10:42.044804Z"
    }
   },
   "cell_type": "code",
   "source": [
    "all_data_2_sum['month'] = a\n",
    "all_data_2_sum = all_data_2_sum.astype(int)\n",
    "plt.figure(figsize=(20, 8))\n",
    "c = 5\n",
    "for i in range(1, 8):\n",
    "    plt.subplot(3, 3, i)\n",
    "    b = all_data_2_sum[all_data_2_sum['month'] == c]\n",
    "    plt.plot(b['time_stamp'], b['label'], linewidth=1, color='red', marker='o', label='Mean value')\n",
    "    c += 1"
   ],
   "id": "109534972b8e20a8",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x800 with 7 Axes>"
      ],
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 176
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "# 2.特征工程",
   "id": "e97c57646dc09034"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:10:43.584314Z",
     "start_time": "2024-09-18T13:10:43.206161Z"
    }
   },
   "cell_type": "code",
   "source": [
    "if 'prob' in test_data.columns:\n",
    "    del test_data['prob']\n",
    "test_data['target'] = 1\n",
    "train_data['target'] = 1\n",
    "# 被删除了，改为全连接\n",
    "# all_data = train_data.append(test_data)  \n",
    "# 使用 concat 函数来合并 train_data 和 test_data\n",
    "all_data = pd.concat([train_data, test_data])\n",
    "all_data = all_data.merge(user_info, on='user_id', how='left')\n",
    "del train_data, test_data, user_info\n",
    "gc.collect()"
   ],
   "id": "2f8def357fdfcf58",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52904"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 177
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:13:00.813005Z",
     "start_time": "2024-09-18T13:13:00.804783Z"
    }
   },
   "cell_type": "code",
   "source": "all_data.head()",
   "id": "af3087bbf256a192",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   user_id  merchant_id  label  target  age_range  gender\n",
       "0    34176         3906    0.0       1        6.0     0.0\n",
       "1    34176          121    0.0       1        6.0     0.0\n",
       "2    34176         4356    1.0       1        6.0     0.0\n",
       "3    34176         2217    0.0       1        6.0     0.0\n",
       "4   230784         4818    0.0       1        0.0     0.0"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>merchant_id</th>\n",
       "      <th>label</th>\n",
       "      <th>target</th>\n",
       "      <th>age_range</th>\n",
       "      <th>gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>34176</td>\n",
       "      <td>3906</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>34176</td>\n",
       "      <td>121</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>34176</td>\n",
       "      <td>4356</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>34176</td>\n",
       "      <td>2217</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>230784</td>\n",
       "      <td>4818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 178
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:14:05.783423Z",
     "start_time": "2024-09-18T13:14:05.747453Z"
    }
   },
   "cell_type": "code",
   "source": [
    "all_data.dropna(subset=['age_range','gender'], inplace=True)\n",
    "all_data.isnull().sum()"
   ],
   "id": "f35f35e90ea45b36",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id             0\n",
       "merchant_id         0\n",
       "label          257626\n",
       "target              0\n",
       "age_range           0\n",
       "gender              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 179
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:15:59.214972Z",
     "start_time": "2024-09-18T13:15:58.324461Z"
    }
   },
   "cell_type": "code",
   "source": [
    "#用户店铺数\n",
    "sell = user_log.groupby(['user_id'])['seller_id'].count().reset_index()\n",
    "all_data =all_data.merge(sell, on='user_id', how='inner')\n",
    "all_data.rename(columns={'seller_id':'sell_sum'}, inplace=True)\n",
    "all_data.head()"
   ],
   "id": "2ff72906b50b14e2",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   user_id  merchant_id  label  target  age_range  gender  sell_sum  sell_sum\n",
       "0    34176         3906    0.0       1        6.0     0.0       451       451\n",
       "1    34176          121    0.0       1        6.0     0.0       451       451\n",
       "2    34176         4356    1.0       1        6.0     0.0       451       451\n",
       "3    34176         2217    0.0       1        6.0     0.0       451       451\n",
       "4   230784         4818    0.0       1        0.0     0.0        54        54"
      ],
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       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>merchant_id</th>\n",
       "      <th>label</th>\n",
       "      <th>target</th>\n",
       "      <th>age_range</th>\n",
       "      <th>gender</th>\n",
       "      <th>sell_sum</th>\n",
       "      <th>sell_sum</th>\n",
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       "  </thead>\n",
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       "      <td>2217</td>\n",
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       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>451</td>\n",
       "      <td>451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>230784</td>\n",
       "      <td>4818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 181
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:26:49.165157Z",
     "start_time": "2024-09-18T13:26:43.967044Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def nunique_k(data,sigle_name,new_name_1):\n",
    "    data1 = user_log.groupby(['user_id'])[sigle_name].nunique().reset_index()\n",
    "    data_union = data.merge(data1,on=['user_id'],how='inner')\n",
    "    data_union.rename(columns={sigle_name:new_name_1},inplace=True)\n",
    "    return data_union\n",
    "#不同店铺个数\n",
    "all_data= nunique_k(all_data,'seller_id','seller_unique')"
   ],
   "id": "43ae62d602bf3a67",
   "outputs": [],
   "execution_count": 191
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:26:49.181475Z",
     "start_time": "2024-09-18T13:26:49.166162Z"
    }
   },
   "cell_type": "code",
   "source": "all_data",
   "id": "9225ee5f4a32003b",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "        user_id  merchant_id  label  target  age_range  gender  sell_sum  \\\n",
       "0         34176         3906    0.0       1        6.0     0.0       451   \n",
       "1         34176          121    0.0       1        6.0     0.0       451   \n",
       "2         34176         4356    1.0       1        6.0     0.0       451   \n",
       "3         34176         2217    0.0       1        6.0     0.0       451   \n",
       "4        230784         4818    0.0       1        0.0     0.0        54   \n",
       "...         ...          ...    ...     ...        ...     ...       ...   \n",
       "514762   228479         3111    NaN       1        6.0     0.0      2004   \n",
       "514763    97919         2341    NaN       1        8.0     1.0        55   \n",
       "514764    97919         3971    NaN       1        8.0     1.0        55   \n",
       "514765    32639         3536    NaN       1        0.0     0.0        72   \n",
       "514766    32639         3319    NaN       1        0.0     0.0        72   \n",
       "\n",
       "        sell_sum  seller_nunique  seller_unique  cat_id_unique  \\\n",
       "0            451             109            109             45   \n",
       "1            451             109            109             45   \n",
       "2            451             109            109             45   \n",
       "3            451             109            109             45   \n",
       "4             54              20             20             17   \n",
       "...          ...             ...            ...            ...   \n",
       "514762      2004             278            278             71   \n",
       "514763        55              17             17             14   \n",
       "514764        55              17             17             14   \n",
       "514765        72              33             33             24   \n",
       "514766        72              33             33             24   \n",
       "\n",
       "        time_stamp_unique  action_type_unique  seller_unique  cat_id_unique  \\\n",
       "0                      47                   3            109             45   \n",
       "1                      47                   3            109             45   \n",
       "2                      47                   3            109             45   \n",
       "3                      47                   3            109             45   \n",
       "4                      16                   2             20             17   \n",
       "...                   ...                 ...            ...            ...   \n",
       "514762                110                   3            278             71   \n",
       "514763                  8                   3             17             14   \n",
       "514764                  8                   3             17             14   \n",
       "514765                 15                   4             33             24   \n",
       "514766                 15                   4             33             24   \n",
       "\n",
       "        seller_unique  cat_id_unique  time_stamp_unique  action_type_unique  \\\n",
       "0                 109             45                 47                   3   \n",
       "1                 109             45                 47                   3   \n",
       "2                 109             45                 47                   3   \n",
       "3                 109             45                 47                   3   \n",
       "4                  20             17                 16                   2   \n",
       "...               ...            ...                ...                 ...   \n",
       "514762            278             71                110                   3   \n",
       "514763             17             14                  8                   3   \n",
       "514764             17             14                  8                   3   \n",
       "514765             33             24                 15                   4   \n",
       "514766             33             24                 15                   4   \n",
       "\n",
       "        seller_unique  \n",
       "0                 109  \n",
       "1                 109  \n",
       "2                 109  \n",
       "3                 109  \n",
       "4                  20  \n",
       "...               ...  \n",
       "514762            278  \n",
       "514763             17  \n",
       "514764             17  \n",
       "514765             33  \n",
       "514766             33  \n",
       "\n",
       "[514767 rows x 20 columns]"
      ],
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       "<p>514767 rows × 20 columns</p>\n",
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      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 192
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:26:58.165497Z",
     "start_time": "2024-09-18T13:26:49.182715Z"
    }
   },
   "cell_type": "code",
   "source": [
    "#不同商品个数\n",
    "all_data= nunique_k(all_data,'cat_id','cat_id_unique')\n",
    "#活跃天数\n",
    "all_data= nunique_k(all_data,'time_stamp','time_stamp_unique')\n",
    "#不同行为种数\n",
    "all_data= nunique_k(all_data,'action_type','action_type_unique')"
   ],
   "id": "f87cd5b32f0e19fb",
   "outputs": [],
   "execution_count": 193
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-09-18T13:26:58.305317Z",
     "start_time": "2024-09-18T13:26:58.166501Z"
    }
   },
   "cell_type": "code",
   "source": "all_data",
   "id": "55f1c709db443d8c",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "        user_id  merchant_id  label  target  age_range  gender  sell_sum  \\\n",
       "0         34176         3906    0.0       1        6.0     0.0       451   \n",
       "1         34176          121    0.0       1        6.0     0.0       451   \n",
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       "\n",
       "        sell_sum  seller_nunique  seller_unique  ...  seller_unique  \\\n",
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       "\n",
       "        cat_id_unique  seller_unique  cat_id_unique  time_stamp_unique  \\\n",
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       "...               ...            ...            ...                ...   \n",
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       "514765             24             33             24                 15   \n",
       "514766             24             33             24                 15   \n",
       "\n",
       "        action_type_unique  seller_unique  cat_id_unique  time_stamp_unique  \\\n",
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       "...                    ...            ...            ...                ...   \n",
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       "514765                   4             33             24                 15   \n",
       "514766                   4             33             24                 15   \n",
       "\n",
       "        action_type_unique  \n",
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       "...                    ...  \n",
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